29 Numerical Methods Jobs

As a Computational Modeling Engineer at Micron Technology, you will be responsible for developing and validating computational models using FEM and CFD tools such as Abaqus, ANSYS Fluent, COMSOL, and Star-CCM. Your primary focus will be on conducting simulations, analyzing results, and optimizing designs to ensure compliance with industry standards. Additionally, you will utilize data analysis and machine learning techniques to enhance the accuracy and efficiency of simulations. Collaboration with cross-functional teams will be essential as you support product development and troubleshoot engineering issues. You will also be required to prepare technical reports and presentations to communicate analysis results and recommendations effectively. Staying updated with the latest advancements in FEA, CFD, numerical methods, computational geometry, and machine learning will be a key aspect of your role. To qualify for this position, you should hold a Master's or PhD degree in Chemical Engineering, Applied Chemistry, Applied Physics, Materials Science, or related fields. A minimum of 5 years of experience in computational modeling is required, along with proficiency in numerical methods, scientific computing, and scripting languages like Python, MATLAB, FORTRAN, and C++. Experience with data analysis tools and machine learning frameworks is also necessary. Preferred skills for this role include knowledge of multi-physics simulations, advanced material models, computational fluid dynamics, thermodynamics, physics, chemistry, and statistical/data analysis. Strong communication, presentation, problem-solving skills, and the ability to manage multiple projects and meet deadlines are highly valued. Micron Technology, Inc. is a global leader in memory and storage solutions, focusing on transforming information into intelligence to enrich lives worldwide. With a commitment to technology leadership and operational excellence, Micron delivers high-performance memory and storage products through its Micron and Crucial brands, driving innovations in artificial intelligence and 5G applications. If you are passionate about computational modeling and keen on contributing to cutting-edge solutions that shape the future, Micron Technology is the place for you. Explore more about our career opportunities at micron.com/careers and be part of our journey towards advancing the data economy from the data center to the intelligent edge. For any inquiries or assistance during the application process, please reach out to hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and complies with all applicable laws and labor standards. Candidates are encouraged to leverage AI tools for enhancing their application materials, ensuring accuracy and authenticity in their qualifications. Misuse of AI may lead to disqualification. Be cautious of fraudulent job offers and verify communications by checking the official Micron careers website. Join us in shaping the future of technology at Micron Technology, Inc.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. You will be part of the Business Consulting QAS- Quantitative Trading Book (QTB) team at EY. The profile for this role includes positions as Quant Analyst, Consultant, or Manager. EY's Financial Services Office (FSO) is a specialized business unit that offers a wide range of integrated services combining deep industry experience with strong functional capability and product knowledge. The FSO practice provides advisory services to financial institutions and other capital markets participants, covering areas such as market, credit, and operational risk management, regulatory advisory, quantitative advisory, structured finance transactions, technology enablement, risk and security, program advisory, and process & controls. As part of the Financial Services Risk Management (FSRM) group within FSO Advisory, you will work on solutions to help clients identify, measure, manage, and monitor market, credit, operational, and regulatory risks associated with their trading and capital markets activities. The Market Risk (MR) team focuses on strategic and functional changes across risk management, treasury, front office, middle office, and back office activities, emphasizing regulatory compliance, analytics, strategy, and organizational structure. Your key responsibilities will include demonstrating deep technical capabilities and industry knowledge, leading client engagements, staying informed about market trends and client issues, monitoring progress, managing risk, communicating effectively with stakeholders, and mentoring junior consultants. To qualify for this role, you should have an undergraduate or Masters degree in Computational Finance, Mathematics, Engineering, Statistics, or Physics, or a Ph.D. in quantitative topics, along with 2-10 years of relevant experience. You should possess knowledge of statistical and numerical techniques, mathematical concepts related to pricing derivatives across asset classes, risk management/model development/validation, and strong coding skills in languages like Python and R. Additionally, good communication, problem-solving, and project management skills are required. Certifications such as FRM, CQF, CFA, PRM, regulatory knowledge/experience, ETRM/CTRM systems experience, and pricing/risk management system knowledge are considered advantageous for this role. EY offers a competitive compensation package, a collaborative environment, excellent training and development prospects, and the opportunity to work with a team of senior colleagues dedicated to managing and varying workloads to create a better working world. Join EY to be a part of building a better working world, creating long-term value for clients, people, and society while contributing to trust in the capital markets. Work with diverse teams across assurance, consulting, law, strategy, tax, and transactions to address complex global issues by asking better questions and finding new answers.,

At EY, you will have the opportunity to shape a career that is as unique as you are, supported by a global network, an inclusive culture, and cutting-edge technology that empowers you to reach your full potential. Your insights and perspective are valued as we strive to enhance EY and create a more inclusive working world for all. As a Quant Analyst/Consultant/Manager in the Business Consulting QAS-Quantitative Trading Book (QTB) profile at EY's Financial Services Office (FSO), you will be part of a specialized team that offers a wide range of services to financial institutions and capital markets participants. These services include market, credit, and operational risk management, regulatory advisory, quantitative advisory, technology enablement, and more. The Market Risk (MR) team within EY's FSO Advisory Practice focuses on assisting clients in implementing strategic changes across risk management, treasury, and capital markets activities. You will be responsible for demonstrating in-depth technical expertise in financial products, leading client engagements, staying informed about market trends, managing project progress and risks, and mentoring junior consultants. To qualify for this role, you should hold an undergraduate or advanced degree in Computational Finance, Mathematics, Engineering, Statistics, or Physics, with 2-10 years of relevant experience. Additionally, you should have knowledge of statistical and numerical techniques, mathematical concepts related to pricing derivatives, risk management/model development/validation, and strong coding skills in languages such as Python and R. Desirable qualifications include certifications like FRM, CQF, CFA, PRM, regulatory knowledge in Basel, CCAR, FRTB, experience with ETRM/CTRM systems, and familiarity with pricing/risk management systems such as Calypso, Murex, Bloomberg, etc. Strong communication, problem-solving, and project management skills are essential for this role. Working at EY offers a competitive compensation package based on performance, a collaborative environment, training and development opportunities, and a team of experienced colleagues dedicated to your growth and success. Join us in building a better working world and contributing to long-term value creation for clients, people, and society.,

Your role at Micron Technology involves developing and validating computational models for process, structure, and multi-physics analysis using tools like Abaqus, ANSYS Fluent, COMSOL, and Star-CCM. You will conduct simulations, analyze results, and optimize designs to meet industry standards. Additionally, you will utilize data analysis and machine learning techniques to enhance simulation accuracy and efficiency. Collaboration with cross-functional teams is essential to support product development and troubleshoot engineering issues. You will be responsible for preparing technical reports and presentations to communicate analysis results and recommendations effectively. Keeping abreast of the latest advancements in FEA, CFD, numerical methods, computational geometry, and machine learning is crucial for this role. As a qualified candidate, you should hold a Master's or PhD degree in Chemical Engineering, Applied Chemistry, Applied Physics, Materials Science, or related fields. With a minimum of 5 years of experience in computational modeling, you should be proficient in numerical methods, scientific computing, and scripting languages such as Python, MATLAB, FORTRAN, and C++. Experience with data analysis tools and machine learning frameworks like TensorFlow is required. Familiarity with FEA, FVM, PFM, HPEM methods, and implementations is advantageous. Strong problem-solving skills, attention to detail, and the ability to work both independently and collaboratively in a fast-paced environment are essential qualities for this role. Experience with High-Performance Computing (HPC) in a Linux environment, computational geometry, and mesh generation techniques is beneficial. Preferred skills include knowledge of multi-physics simulations, advanced material models, computational fluid dynamics, thermodynamics, physics, chemistry, and statistical/data analysis. Strong communication and presentation skills, along with the ability to manage multiple projects and meet deadlines, are highly valued attributes. Micron Technology, Inc., is a global leader in memory and storage solutions, leveraging innovation to enrich lives through information. With a focus on technology leadership, operational excellence, and customer-centric solutions, Micron offers a diverse range of high-performance DRAM, NAND, and NOR memory and storage products under the Micron and Crucial brands. The company's advancements in AI and 5G applications empower the data economy, driving progress from data centers to the intelligent edge and enhancing client and mobile user experiences. To explore opportunities at Micron Technology, please visit micron.com/careers. For assistance with the application process or accommodations, contact hrsupport_india@micron.com. Micron upholds a strict policy against child labor and complies with all relevant laws and labor standards. Candidates are encouraged to utilize AI tools to enhance their resumes and applications, ensuring accuracy and transparency in representing their qualifications. Job seekers should exercise caution regarding unsolicited job offers and verify communication authenticity by referring to the official Micron careers website.,

At EY, you will have the opportunity to craft a career that is as exceptional as you are, leveraging global scale, support, an inclusive culture, and cutting-edge technology to evolve into the best version of yourself. Your distinctive voice and perspective are crucial in contributing to EY's continuous improvement. By joining us, you will not only create an outstanding experience for yourself but also foster a more inclusive and productive working world for all. As a Quant Analyst/Consultant/Manager in EY's Financial Services Office (FSO), you will be part of a specialized business unit that delivers a wide array of integrated services combining industry expertise with functional know-how. The FSO practice offers comprehensive advisory services to financial institutions and capital markets entities, encompassing market, credit and operational risk management, regulatory compliance, quantitative advisory, structured finance, and technology enablement. Within the FSO Advisory Practice, the Financial Services Risk Management (FSRM) group focuses on assisting clients in identifying, measuring, managing, and monitoring various risks associated with trading, asset-liability management, and capital markets activities. The Market Risk (MR) team within FSRM works closely with clients to implement strategic changes in risk management, regulatory compliance, and organizational structure, catering to the needs of large financial institutions, broker-dealers, asset managers, and insurance companies. Your primary responsibilities will include demonstrating in-depth technical expertise in financial products, leading client engagements, staying updated on market trends, managing project progress and risks, and mentoring junior consultants. To qualify for this role, you should hold an undergraduate or advanced degree in Computational Finance, Mathematics, Engineering, Statistics, or Physics, coupled with 2-10 years of relevant experience. Proficiency in statistical and numerical techniques, risk management concepts, and programming languages like Python and R is essential. Additionally, strong communication, problem-solving, and project management skills are required. Having certifications such as FRM, CQF, CFA, or PRM, along with experience in regulatory frameworks and risk management systems, would be advantageous. A willingness to travel, conduct performance reviews, contribute to talent recruitment, and enhance personal skills through continuous learning are also valued qualities. Working at EY offers a competitive compensation package, a collaborative environment, extensive training opportunities, and a supportive team of senior colleagues dedicated to your professional growth. EY is committed to building a better working world by creating long-term value for clients, fostering trust in capital markets, and driving growth and transformation through diverse teams across the globe. Join us in asking better questions and finding innovative solutions to address the complex challenges of today's world.,

You should have a Bachelors or Masters degree from a reputable institution with good academic standing. The ideal candidate for this position should have 0 to 3 years of experience. MGT is currently looking for a dedicated engineer to join our R&D team. As an R&D engineer specializing in finite element analysis (FEA), your responsibilities will include: Generating FEA/simulation models of mechanical components, sub-assemblies, and systems. Analyzing static, dynamic, structural, and thermal-mechanical behavior under various operating conditions. Collaborating with the design team to enhance and optimize designs of current and future products based on FEA analysis. Proposing and implementing equipment characterization and test procedures to validate model results and assist in modeling efforts. Maintaining consistent modeling practices and contributing to the enhancement of simulation best practices within the organization. Assisting in root-cause analysis and troubleshooting technical challenges in conjunction with team members. Showing enthusiasm for learning simulation best practices from industry and academia and integrating them into your work. Contributing to the development of precision manufacturing machinery in India by engaging closely with other engineers. Requirements for this role include: Proficiency in the use of standard FEA software (such as Ansys, Altair, Abaqus, etc.) and understanding of FEA workflows. Strong fundamentals in solid mechanics, mechanics of materials, numerical methods, and engineering design. Experience with any CAD package for 3D design. Previous experience with CAD and FEA software tools. Practical experience in static, dynamic, and thermal-mechanical simulations on industrial or research problems. Effective verbal and written communication skills, with the ability to convey technical information to different audiences. A collaborative mindset to work with internal and external stakeholders in a high-paced environment to meet project milestones and deadlines. This position is located in Bangalore.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths, supported by a global network, inclusive environment, and cutting-edge technology to empower you to reach your full potential. Your individual voice and perspective are valued as we strive to continuously enhance EY's performance. Join us in creating a remarkable experience for yourself while contributing to a more inclusive and efficient working world. As a part of EY's Financial Services Office (FSO), you will be part of a specialized unit that offers a wide array of services tailored to the financial industry, blending extensive industry knowledge with robust functional expertise and product insight. FSO delivers comprehensive advisory services to financial institutions and other entities in capital markets, encompassing areas such as risk management, regulatory compliance, quantitative advisory, technology integration, and more. Within the Financial Services Risk Management (FSRM) group of FSO, the Market Risk (MR) team focuses on assisting clients in effectively managing market risks associated with their trading and capital market activities. Your role will involve designing and implementing strategic changes related to risk management, regulatory compliance, and organizational structure across various departments within client organizations. Key Responsibilities: - Demonstrate in-depth technical expertise and industry knowledge in financial products - Lead components of large-scale or smaller client engagements, ensuring high-quality services are consistently delivered - Stay updated on market trends and challenges faced by clients in the financial services sector - Monitor project progress, manage risks, and communicate effectively with stakeholders to achieve desired outcomes - Mentor junior consultants within the organization to foster their professional growth Qualifications: - Bachelor's or Master's degree in Computational Finance, Mathematics, Engineering, Statistics, or Physics, or Ph.D. in quantitative disciplines - 2-10 years of relevant experience - Proficiency in statistical and numerical techniques, mathematical concepts, risk management, and model development/validation - Strong coding skills in Python and R, with basic knowledge of SQL - Excellent communication, problem-solving, and project management abilities Preferred Qualifications: - Certifications such as FRM, CQF, CFA, or PRM - Regulatory knowledge in areas like Basel, CCAR, and FRTB - Experience with ETRM/CTRM systems and pricing/risk management systems - Willingness to travel for client engagements By joining EY, you will receive competitive compensation based on performance, recognition for your contributions, and opportunities for professional growth through training programs and on-the-job learning. You will collaborate with a diverse team of senior colleagues committed to creating a more efficient and inclusive working world. EY is dedicated to building a better working world by delivering long-term value to clients, society, and the capital markets. With a global reach and a focus on leveraging data and technology, EY teams worldwide offer assurance services, drive transformation, and provide strategic solutions across various disciplines to address complex challenges of today's world.,

The opportunity As an experienced Structural R&D Engineer, you will join the Global Multi-Physics Simulation (GLOMUS) network team. You will be part of a group of key people with specific expertise in the fields of electrical, structural, acoustic, thermo-mechanic, and fluid-dynamics analyses, simulation, and testing. Being part of our global R&D community, including Technology Centers and Research Centers worldwide, you will contribute to supporting all factories in the Product Group Transformers, Insulation, and Components on innovative and challenging development projects. Your focus will be on developing new technologies and products, optimizing existing ones, and supporting different engineering offices around the world. How you will make an impact You will be responsible for creating and improving analytical tools and finite element methodologies and automations for structural, static, fatigue, and dynamic analysis. You will play a crucial role in the design process by proposing new ideas through concept design, prototyping, and verification all the way to production. Supporting new product development projects will be a key part of your role, focusing on mechanical design and simulation tasks involving multi-disciplinary areas such as static, dynamic, thermal, and seismic simulations. You will also conduct mechanical and seismic feasibility studies, including design calculations, preparation of design specifications, and technical documents. Providing timely and effective support to facilitate the transfer of technology and knowledge from GLOMUS to other technical centers will also be part of your responsibilities. Additionally, you will be involved in the preparation of 3D CAD Models, drawings, FE-simulation models, test procedures, and documentation. Living Hitachi Energy's core values of safety and integrity will be crucial, ensuring compliance with applicable external and internal regulations, procedures, and guidelines. Your background You should hold a Masters's degree in mechanical, aerospace engineering, or physics, with a strong foundation in structural dynamics and vibrations. A minimum of 3 years of relevant experience in Mechanical, static, fatigue, and dynamic simulations is required. A deep understanding of mechanical core competences, material selection, and manufacturing methods is essential. Knowledge of high voltage products would be beneficial. Advanced skills in numerical methods for Mechanical simulations are necessary, with experience in software suites like ANSYS Workbench or COMSOL being preferential. Knowledge of programming languages such as MATLAB, Mathcad, Python, and Ansys ACT is important for creating custom simulations and analyzing data. Good proficiency in 3D-CAD modeling and knowledge of cPLM and Windchill is desired. Experience with structural testing, fiber optics, and application of different sensors (e.g., strain gauges, load cells, accelerometers) would be advantageous. You should bring a high level of self-motivation, curiosity, and a desire to learn new technologies and simulation methodologies. The ability to work independently with minimal supervision as well as collaborate effectively in a team to deliver high-quality results on time is essential. As you will be part of a global business, willingness to travel and fluency in written and spoken English are required.,

As an Assistant/Associate Professor of Mathematics with a computational focus at K.R. Mangalam University in Gurugram, your primary role will involve instructing Computer Science students in foundational mathematics while incorporating computational tools and practical applications. Your responsibilities will include teaching core mathematics courses such as Linear Algebra, Probability, and Calculus, specifically tailored for CS students. You will be expected to integrate tools like Python, MATLAB, or R into your instructional methods. Additionally, designing lab sessions and projects that involve computational applications will be essential. Furthermore, you will play a crucial role in supporting the development of the curriculum to align with industry requirements and mentor students in applied mathematics and computational thinking. To excel in this role, you should hold a Ph.D. in Mathematics, Applied Mathematics, or a related field with a computational focus. Proficiency in tools like Python, MATLAB, or similar software is a prerequisite. Previous experience in teaching or collaborating with Computer Science students is preferred. Desirable qualifications include familiarity with platforms like Jupyter, the SciPy stack, or numerical methods, as well as a robust academic and research background. If you are interested in this opportunity, please visit the K.R. Mangalam University website for further details and submit your resume to krmujobs@krmangalam.edu.in.,

Senior BI & Analytics Team Leader About Junglee Games With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglees mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview As our Senior Business Analyst / Assistant Manager- Analytics , you will gather, analyze, identify and lead actionable data insights to solve real complex challenges and build the most successful web/mobile gaming platform for millions of players. Your desire to solve analytically complex problems and give your team the winning intelligence is only second to your passion to lead a data-driven organization. You will question and push boundaries to eliminate inefficiencies. You should be a wizard with data, not one who knows how to manipulate it but one who can truly transform it into meaningful actionable insights. Job Location- Gurgaon Key Responsibilities Leverage complex data algorithms and numerical methods for forecasting, simulation and predictive analysis designed to optimize key decisions and metrics such as retention, engagement, and operations. Analyze consumer data to drive insights into how to target effectively, retain customers at low cost, and optimize engagement metrics. Develop a reporting process for all KPIs. Champion awareness of data indicators within the organization and teach everyone to proactively identify data patterns, growth trends, and areas of improvement. Improve Conversion Funnels, Improve Customer Retention Rate Design and own AB tests relating to the acquisition of users and take ownership of impact analysis for those AB tests. Spends analysis and Forecasting Qualifications & Skills Required B.Tech or a bachelors degree. 3 to 7 yrs in analytics execution, with specific experience in all stages - gathering, hygiene, and analysis of data resulting in actionable insights for end-to-end product, marketing, and business operations. Experience with at least one statistical and analytic tool, or language expertise in R, Python, SAS, etc. Expertise in analysis algorithms, numerical methods and data tactics used to drive operational excellence, user engagement, and retention. Expertise in at least one visualization platform such as Tableau, QlikView, Spotfire or Advance Excel. Advanced SQL skills will be a must. Ability to creatively solve business problems through innovative approaches. Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects. Highly analytical with the ability to collate, analyze and present data, and drive clear insights to lead decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, company divisions, and partners. Be a Part Of Junglee Games To Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know More About Us Explore the world of Junglee Games through our website, www.jungleegames.com. Get a glimpse of what Life at Junglee Games looks like on LinkedIn. Here is a quick snippet of the Junglee Games Offsite24 Liked what you saw so far Be A Junglee Show more Show less

Senior BI & Analytics Team Leader About Junglee Games With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglees mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview As our Senior Business Analyst / Assistant Manager- Analytics , you will gather, analyse, identify and lead actionable data insights to solve real complex challenges and build the most successful web/mobile gaming platform for millions of players. Your desire to solve analytically complex problems and give your team the winning intelligence is only second to your passion to lead a data-driven organization. You will question and push boundaries to eliminate inefficiencies. You should be a wizard with data, not one who knows how to manipulate it but one who can truly transform it into meaningful actionable insights. Job Location- Gurgaon Key Responsibilities Leverage complex data algorithms and numerical methods for forecasting, simulation and predictive analysis designed to optimize key decisions and metrics such as retention, engagement, and operations. Analyze consumer data to drive insights into how to target effectively, retain customers at low cost, and optimize engagement metrics. Develop a reporting process for all KPIs. Champion awareness of data indicators within the organization and teach everyone to proactively identify data patterns, growth trends, and areas of improvement. Improve Conversion Funnels, Improve Customer Retention Rate Design and own AB tests relating to the acquisition of users and take ownership of impact analysis for those AB tests. Spends analysis and Forecasting Qualifications & Skills Required B.Tech or a bachelors degree. 3 to 7 yrs in analytics execution, with specific experience in all stages - gathering, hygiene, and analysis of data resulting in actionable insights for end-to-end product, marketing, and business operations. Experience with at least one statistical and analytic tool, or language expertise in R, Python, SAS, etc. Expertise in analysis algorithms, numerical methods and data tactics used to drive operational excellence, user engagement, and retention. Expertise in at least one visualization platform such as Tableau, QlikView, Spotfire or Advance Excel. Advanced SQL skills will be a must. Ability to creatively solve business problems through innovative approaches. Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects. Highly analytical with the ability to collate, analyze and present data, and drive clear insights to lead decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, company divisions, and partners. Be a Part Of Junglee Games To Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know More About Us Explore the world of Junglee Games through our website, www.jungleegames.com. Get a glimpse of what Life at Junglee Games looks like on LinkedIn. Here is a quick snippet of the Junglee Games Offsite24 Liked what you saw so far Be A Junglee Show more Show less

Responsibilities We value and are committed to upholding a culture of Inclusion and Belonging Our Flexible Work Policy we recognize the importance of balance in our lives and encourage you to prioritize the balance in yours. We will support you on and off the job so you can be fully present in both your work and home lives. A Canadian success story - we&aposre proud to wear the red and white of this beautiful country and show the world what Canada has to offer. Enhance the world around you - from the environment to the highways, to the buildings and the terrain, WSP is the fabric of Canada. Outstanding career opportunities - we&aposre growing and pushing ourselves every day to be greater than yesterday - we&aposre open to your ideas and trying new things. A phenomenal collaborative culture and a workforce filled with genuinely good people who are doing humbly important work. Come find out for yourself what it&aposs like to be a part of our journey. We offer attractive pay, flexible work options, a great corporate culture, comprehensive and employee-focused benefits including virtual healthcare and a wellness platform as well as great savings programs, and a clear vision for the future. Youll assist project managers / technical leads with the execution of a broad range of hydrogeological/hydrological technical services which may include involvement in the groundwater components of Environmental Impact Assessments, operational water management and closure/reclamation for oil sands/mining industry Youll provide technical support for geological and hydrogeological data analyses, visualization and development of conceptual site models. Youll apply hydrogeological principles to groundwater projects using conceptual and numerical modelling software (groundwater and integrated surface water-groundwater models). Youll develop techniques and methods to create solutions for groundwater problems. Youll perform specialist numerical modelling and simulations in support of engineering projects. Youll prepare technical documentation to support analytical and numerical studies. Youll be a self-starter and be able to take ownership of project tasks using technical knowledge. Youll contribute to technical solutions spanning multiple engineering disciplines as well as wider technical communities across Canada and around world in a collaborative environment; Youll take an active role in working with a mentor and other team members to support your individual career progression and growth Qualifications Environmental / Mining Engineering or related field; With Minimum 2 to 7 years if experience. Experience in numerical analyses for engineering applications; An understanding of numerical methods including finite difference, finite element and control volume finite element approaches; Proficiency in the use of commercial numerical groundwater modelling codes is an asset (FEFLOW, MODFLOW, HydroGeoSphere, etc.); Experience with visualization software (GIS, Surfer, Leapfrog, CAD, etc.); Experience with general-purpose scripting/programming is an asset (Python, VBA, etc.); Experience in global optimization and developing complex 3D geometries for numerical modelling purposes; Experience with parameter estimation and global optimization software; Understanding of data science and analytics, and practical applications in the field of hydrogeology; Direct exposure to machine learning would be an asset; Some understanding and experience with physical hydrogeology would be an asset; Demonstrates critical analytical and strong written and verbal communication skills. Experience with Microsoft Office software suite (Word, Excel, PowerPoint, etc.). Self-motivated, curious and well organized Ability to work in a team environment. About Us WSP is one of the world&aposs leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. With approximately 4,000 talented people across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than 73,000 globally , in 550 offices across 40 countries , we engineer projects that will help societies grow for lifetimes to come. At WSP we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Uni?ed under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones: Our People, Our Clients, Our Operational Excellence and Our Expertise. www.wsp.com We are Passionate people doing purposeful and sustainable work that helps shape our communities and the future. A collaborative team that thrives on challenges and unconventional thinking. A network of experts channeling our curiosity into creating solutions for complex issues. Inspired by diversity, driven by inclusion, we work with passion and purpose. Working with Us At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. Our Hybrid Working Module With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model. Maximize collaboration. Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficiency. Health, Safety and Wellbeing Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our Making Health and Safety Personal initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years. Inclusivity and Diversity WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background. Imagine a better future for you and a better future for us all. Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far. With us, you can. Apply today. NOTICE TO THIRD PARTY AGENCIES: WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Show more Show less

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You&aposll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master&aposs or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems. Show more Show less

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. FSO practice offers integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include market, credit, and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY's FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions to help FSO clients identify, measure, manage, and monitor market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management, and other capital markets activities. The Market Risk (MR) team within FSRM assists clients in designing and implementing strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Your key responsibilities include demonstrating deep technical capabilities and industry knowledge of financial products, leading components of large-scale client engagements, understanding market trends and demands in the financial services sector, monitoring progress, managing risk, and effectively communicating with key stakeholders, and playing an active role in mentoring junior consultants within the organization. To qualify for the role, you should have an Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Additionally, you should have working knowledge or academic experience of statistical and numerical techniques, knowledge of mathematical concepts related to pricing derivatives for various asset classes, strong risk management/model development/validation knowledge, good hands-on experience in model development/validation/monitoring/audit procedures, knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus, strong coding skills in programming languages like Python and R, excellent communication and strong problem-solving skills, project management experience, and report writing experience. Good-to-have qualifications include certifications such as FRM, CQF, CFA, PRM, regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB, ETRM/CTRM systems experience, pricing/risk management system knowledge/experience, willingness to travel to meet client needs, experience in stakeholder and client management, and contributing to people initiatives. EY offers a competitive compensation package, a collaborative environment, excellent training and development prospects, an excellent team of senior colleagues, and opportunities to contribute to developing intellectual capital to support delivering superior outcomes for clients and the firm. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a CFD Software Developer (R&D) at our company based in Bareilly, UP, you will have the opportunity to unlock your full potential in a supportive environment that celebrates achievements and views every challenge as an opportunity for growth. We are looking for individuals with a Ph.D., M.Tech/MS qualification who have an excellent understanding of numerical methods, fluid mechanics, and CFD software development. Your skills in C++, Python, and FORTRAN with OOP skills will be highly valued, along with experience in CFD software testing. In this role, expertise in various areas such as multiphase flows, phase change, thermodynamics, particle dynamics, melting and solidification, sediment scour modeling, large-scale river modeling, reaction kinetics, thermodynamics, reactor, chemical engineering processes, and FOAM will be beneficial. Additionally, experience in AI, particularly deep learning using Keras, Pytorch, or Tensorflow, is desired. You should also have a good grasp of high-performance computing and parallelization on CPUs and GPUs. Strong communication skills and a track record of paper publishing are essential for this position. If you are passionate about CFD software development and possess the preferred qualifications and skills mentioned above, we encourage you to apply and join our dynamic team where you can contribute to cutting-edge research and innovation. For any queries, please contact us at careers@paanduv.com or 8218317925.,

The role of a Mathematician, Physicist, or Engineer in our cross-functional optimization team involves developing, validating, and refining mathematical models and algorithms to drive optimization across product design, manufacturing processes, and material systems. By collaborating with mechanical/electrical engineers and software developers, you will contribute significantly to data-driven decision-making and computational efficiency in various areas such as lead time reduction, material optimization, process improvement, and chemical composition refinement. Your responsibilities will include: - Developing mathematical models and optimization algorithms to support engineering objectives like lead time reduction, material efficiency, and process optimization. - Collaborating with engineers to translate physical system constraints and performance goals into solvable mathematical formulations. - Working with software developers to integrate algorithms into custom tools and platforms for computational efficiency and scalability. - Continuously validating and enhancing existing algorithms using real-world data, simulations, and feedback. - Applying principles from applied mathematics, physics, and numerical methods to solve complex optimization problems across various domains. - Supporting the development of predictive models and simulations for chemical composition optimization and structural performance. - Ensuring compliance with external and internal regulations, procedures, and guidelines while upholding Hitachi Energy's core values of safety and integrity. Requirements: - Masters or Ph.D. in Mathematics, Physics, Applied Mathematics, or a related field. - Bachelors degree in engineering or a related field with 3 to 6 years of relevant experience. - Strong foundation in optimization theory, numerical methods, and mathematical modeling. - Proficiency in programming languages such as Python and MATLAB for algorithm development. - Ability to collaborate effectively in a multidisciplinary team and possess analytical thinking, problem-solving, and communication skills. - Capability to work both independently and as part of a team in a fast-paced environment. - Proficiency in spoken and written English is essential. If you are a qualified individual with a disability requiring accessibility assistance or accommodation during the job application process, you may request reasonable accommodations by completing a general inquiry form on our website. Please provide your contact information and specific details about the required accommodation to support you throughout the application process. Requests for purposes other than accessibility assistance will not receive a response.,

You will be joining an advanced-technology scale-up company operating at the intersection of Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. The hardware division focuses on designing full-stack enterprise quantum computers encompassing superconducting processors, cryogenic control electronics, and RF instrumentation to drive innovations in various sectors including life sciences, finance, transportation, and space exploration. In this role, you will be responsible for modeling coupled superconducting-qubit systems, creating Hamiltonian-level descriptions, and validating them through extensive numerical simulations to assess error-correction performance. Collaborating closely with processor-design engineers, you will develop and optimize qubit-control schemes to enhance architecture and performance. Additionally, you will design simulation workflows and computational tools to predict coherence times, gate fidelities, and other critical device metrics. You will also be involved in creating experimental protocols and analysis pipelines for quantum-state and process tomography, with the aim of improving theoretical models. Your tasks will include publishing research findings in peer-reviewed publications, authoring technical reports to guide design-of-experiments (DoE), and roadmap decisions. You will play a key role in promoting a culture of rigorous peer review, knowledge-sharing, and cross-functional collaboration within the quantum-hardware program. To be successful in this role, you must hold an MSc/M.Tech/PhD in Physics, Electrical Engineering, or a related field with a strong foundation in quantum mechanics. Deep knowledge of Hamiltonian engineering, circuit QED, and superconducting-qubit error-correction schemes is essential. Proficiency in numerical methods, computational modeling of quantum circuits, and experience with Python-based quantum platforms such as QuTiP, Qiskit, and Cirq is required. You should have expertise in designing protocols for measuring coherence times, gate fidelities, and tomography, as well as a proven track record of peer-reviewed publications in quantum technology. Strong problem-solving and communication skills are crucial for this role. Preferred qualifications include familiarity with bosonic codes, autonomous error-correction, and advanced value-engineering techniques. Experience in writing analytical reports to shape DoE and experimentation roadmaps, working with GPU-accelerated simulators, or contributing to open-source quantum-software libraries would be advantageous. Exposure to hybrid AI-quantum workflows or domain-specific optimization in areas like life sciences, finance, or materials is also desirable. This is a full-time position that requires in-person work at the company's location. If you meet the requirements and are excited about contributing to cutting-edge quantum technology advancements, we look forward to speaking with you.,

We are looking for a highly motivated and experienced Senior Software Engineer to be a part of our team and take on a crucial role in the development and enhancement of our advanced options analytics platform. As a Senior Software Engineer, you will be primarily involved in designing, developing, and implementing robust and scalable Java-based solutions for calculating and analyzing options pricing models and risk metrics. The ideal candidate will have a strong understanding of financial markets, options theory, and a successful track record of building high-performance, data-driven applications in Java. Your responsibilities will include: - Designing, developing, and maintaining Java-based components for our options analytics platform, such as pricing models, risk calculations (Greeks, VaR, etc.), and data processing pipelines. - Implementing and optimizing complex algorithms for option pricing and risk analysis to ensure accuracy and performance. - Collaborating with product managers and stakeholders to comprehend requirements and translate them into technical solutions. - Writing clean, well-documented, and testable code following best practices. - Participating in code reviews and contributing to enhancing the team's development processes. - Troubleshooting and debugging issues to ensure the stability and reliability of the platform. - Staying updated with the latest advancements in options pricing models, financial markets, and Java technologies. - Contributing to the architecture and design of the overall system. - Mentoring junior engineers and providing technical guidance. Qualifications we seek in you: - Bachelor's or Master's degree in Computer Science, Financial Engineering, or a related field. - 5+ years of experience in software development with a focus on Java. - Strong understanding of object-oriented programming principles and design patterns. - Proven experience in building and optimizing high-performance, multi-threaded applications. - Solid knowledge of financial markets, options theory, and derivative pricing models (e.g., Black-Scholes, Binomial, Monte Carlo). - Experience with numerical methods and algorithms used in options pricing and risk management. - Proficiency in working with large datasets and data processing techniques. - Experience with testing frameworks (e.g., JUnit, Mockito) and continuous integration/continuous deployment (CI/CD) pipelines. - Experience in building distributed systems and APIs. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. At Trading Technologies, we offer competitive benefits including medical, dental, vision, flexible work schedules with a hybrid work model, generous PTO days, milestone anniversary bonuses, tech resources, subsidy contributions towards gym memberships and health/wellness initiatives, and a forward-thinking culture that promotes diversity and inclusion.,

You are a highly motivated and experienced Senior Software Engineer being sought to join a dynamic team and contribute significantly to the development and enhancement of a cutting-edge options analytics platform. Your primary responsibilities will involve designing, developing, and implementing robust and scalable Java-based solutions specifically tailored for calculating and analyzing options pricing models and risk metrics. The ideal candidate will possess a strong comprehension of financial markets, options theory, and a proven track record in constructing high-performance, data-driven applications utilizing Java. Your role will entail: - Designing, developing, and maintaining Java-based components for the options analytics platform, encompassing pricing models, risk calculations (Greeks, VaR, etc.), and data processing pipelines. - Implementing and optimizing intricate algorithms for option pricing and risk analysis to ensure accuracy and performance. - Collaborating with product managers and stakeholders to comprehend requirements and translate them into technical solutions. - Writing clean, well-documented, and testable code following industry best practices. - Participating in code reviews and contributing to the enhancement of the team's development processes. - Troubleshooting and debugging issues to ensure platform stability and reliability. - Keeping abreast of the latest advancements in options pricing models, financial markets, and Java technologies. - Contributing to the architecture and design of the overall system. - Mentoring junior engineers and providing them with technical guidance. Qualifications and Skills: - Bachelor's or Master's degree in Computer Science, Financial Engineering, or a related field. - 5+ years of software development experience with a focus on Java. - Strong understanding of object-oriented programming principles and design patterns. - Proven expertise in building and optimizing high-performance, multi-threaded applications. - Sound knowledge of financial markets, options theory, and derivative pricing models (e.g., Black-Scholes, Binomial, Monte Carlo). - Experience with numerical methods and algorithms utilized in options pricing and risk management. - Proficiency in handling large datasets and data processing techniques. - Familiarity with testing frameworks (e.g., JUnit, Mockito) and continuous integration/continuous deployment (CI/CD) pipelines. - Experience in constructing distributed systems and APIs. - Excellent problem-solving and analytical abilities. - Strong communication and collaboration skills. Trading Technologies is a leading Software-as-a-Service (SaaS) technology platform provider in the global capital markets industry. The company's TT platform, renowned for its excellence, connects to major international exchanges and liquidity venues across listed derivatives and other asset classes, including fixed income and cryptocurrencies. TT offers advanced tools for trade execution, order management, market data solutions, analytics, trade surveillance, risk management, and infrastructure services to top-tier sell-side institutions, buy-side firms, and exchanges. Its prestigious client base comprises Tier 1 banks, brokers, hedge funds, proprietary traders, and more, who rely on the TT ecosystem for seamless trading operations. TT strategically partners with technology companies to enhance its offerings through the TT ecosystem, benefiting its global clientele.,

As a Research Associate (RA) in a project sponsored by the Science and Engineering Research Board (SERB) under the Core Research Group (CRG) scheme entitled Dynamic fracture at a non-planar interface (File No. CRG/2022/004550) sanctioned to Prof. Ranjith Kunnath at Mahindra University, you will be responsible for developing mathematical formulations for dynamic fracture problems and their numerical implementation. To be eligible for this position, you should have a Ph.D. in Mathematics/Physics/Engineering with specialization in mathematical modeling/solid mechanics and numerical methods. The fellowship for this role is up to Rs. 63,000 + 24% HRA per month, depending on your qualification and experience. The initial appointment is for 1 year, with the possibility of extension based on performance. For more information about the project and Prof. Ranjith Kunnath, you can visit the webpages http://ranjithkunnath.in/ and https://www.mahindrauniversity.edu.in/faculty/ranjith-kunnath. If you are interested in this opportunity, please send your detailed CV and cover letter to ranjith.kunnath@mahindrauniversity.edu.in.,

As a Senior Delphi Developer, you will be responsible for supporting the operational lead by understanding the application functionality, architecture, and design. Your key responsibilities will include participating in understanding changes required for new features, answering technical queries about product usage, installation, and functionality, as well as replicating and fixing user-reported defects. You will work closely with the support team to test and release new versions of the software, document user-reported defects and requests in the Service Manager system, and collaborate with the development team and subject matter experts on reported incidents. It will be your responsibility to support as per SLA, construct and maintain a knowledge base of software FAQs, issues, and resolutions. To be successful in this role, you should have an undergraduate degree in Computer Science or a related Engineering field with at least 7 years of experience in Delphi development environment and numerical methods. Strong verbal and written communication skills are essential, along with the ability to work independently, apply good judgment, and make decisions. Experience in full Software Design Life Cycle (SDLC), proficiency in using Azure DevOps for source code control, and familiarity with Scrum and Agile development methodologies are required. Preferred skills include an MS or BS in Engineering, particularly petroleum engineering, experience with Open GL or 3D Graphic systems, and developing petroleum engineering software. Field experience in Product Enhancements, particularly in frac operations, and knowledge of fracture analysis and modeling software such as GOHFER, FracPro, MFrac, etc., will be advantageous.,

You will be working at an advanced-technology scale-up focused on Quantum Computing, Artificial Intelligence, and Semiconductor Engineering. The hardware division of the company specializes in designing full-stack enterprise quantum computers, including superconducting processors, cryogenic control electronics, and RF instrumentation. The goal is to unlock breakthroughs across various sectors such as life sciences, finance, transportation, and space. As the Quantum Processor Architect, your primary responsibility will be to design fully fault-tolerant and scalable quantum processors. This involves crafting blueprints and error-correction strategies for next-generation devices, with a focus on developing patentable intellectual property. You will also be tasked with designing, simulating, and benchmarking various quantum error-correction codes on noise-biased hardware. Collaboration with cryo-control and fabrication teams to iterate solutions will be crucial in this role. You will need to build numerical tool-chains using Python/QuTiP/Qiskit to model error propagation, mitigation, and gate-fidelity limits. These tools will provide data-driven design insights to enhance the quantum processor's performance. Additionally, prototyping dynamical-decoupling and error-mitigation schemes will be part of your responsibilities to extend coherence and enable bias-preserving logical gates. In this position, it is essential to publish peer-reviewed papers, file patents, and author internal Department of Energy (DoE) reports that influence the company's roadmap and funding decisions. Furthermore, you will play a key role in championing rigorous peer reviews, mentoring junior researchers, and promoting cross-functional knowledge-sharing within the organization. To excel in this role, you are required to have a PhD or MS in Physics, Mathematics, Computer Science, or a related field with a focus on quantum technologies. A minimum of 3 years of experience in designing quantum error-correction codes and fault-tolerant architectures is necessary. Proficiency in Python, MATLAB, and quantum software stacks for large-scale simulations and data analysis is a must. Hands-on experience with dynamical decoupling and error-mitigation techniques on experimental platforms is highly desirable. A strong track record of peer-reviewed publications and successful research projects is also expected. Additionally, familiarity with noise-biased bosonic codes, experience in writing DoE and experimental-improvement reports, and a background in cryogenic control electronics, RF instrumentation, or superconducting-qubit fabrication are preferred qualifications. Proven patent filings or open-source contributions in quantum technology, exposure to GPU-accelerated simulators, and engagement with industry consortia or standards bodies advancing quantum-error-correction research will be advantageous in this role. As the Quantum Processor Architect, your skill set should include expertise in numerical tool-chains, qubit-control schemes, artificial intelligence, dynamical decoupling, Python-based quantum platforms, quantum error-correction codes, problem-solving, superconducting-qubit error-correction schemes, computational modeling of quantum circuits, LDPC codes, communication, quantum software stacks, and fault-tolerant architectures. Your contributions will play a critical role in advancing the company's capabilities in the field of quantum computing and semiconductor engineering.,

At QpiAI, we are at the forefront of the discovery of optimal AI and Quantum systems in various industries such as Life sciences, Healthcare, Transportation, Finance, Industrial, and Space technologies. Our focus lies in building full-stack Enterprise Quantum Computers. As a part of the QpiAI Quantum hardware team, your role will involve the design and characterization of Quantum Processors, Cryogenic Quantum Control Circuits, RF Control Hardware, and QpiAI ASGP. We are currently seeking a talented engineer with a strong mathematical background and sharp algorithmic skills to join us in building a high-performance optimization infrastructure. This infrastructure will cater to real-world decision-making problems in domains like logistics, manufacturing, and emerging technologies. We need someone who excels at translating abstract optimization problems into efficient, production-ready solvers. Key Responsibilities - Design and implement fast, scalable solvers for complex optimization problems in both discrete and continuous domains. - Develop constraint modeling frameworks and metaheuristic algorithms based on solid mathematical principles. - Evaluate solution quality, convergence behavior, and performance benchmarks across various instances and datasets. - Collaborate with system engineers to seamlessly integrate your solver modules into larger optimization stacks and real-time decision systems. - Explore and incorporate techniques from mathematical programming, stochastic methods, and quantum-inspired approaches. What We're Looking For - Strong mathematical foundation including expertise in linear algebra, combinatorics, graph theory, numerical methods, convex and discrete optimization. - Proficiency in algorithmic and systems thinking, with the ability to write efficient, optimized code and address performance bottlenecks. - Exceptional programming skills in Python and C++ (or Rust/Julia); familiarity with low-level optimizations and profiler-driven development is advantageous. - Experience in algorithm design for constraint systems, heuristics, and metaheuristics. - Hands-on coding experience with a notable presence on platforms like Leetcode, Codeforces, or Hackerrank. - Product-oriented mindset with the capability to design modular, reusable, and scalable solvers suitable for production systems. - Exposure to quantum computing or hybrid quantum-classical paradigms is a bonus. Good to Have - Familiarity with model encoding techniques and constraint representations. - Experience in benchmarking on large-scale combinatorial datasets. - Participation in mathematical modeling competitions such as INMO, COMAP, or Kaggle competitions involving optimization. Why Join Us By joining our team, you will collaborate closely with professionals who view optimization not just as a mathematical puzzle but as an engineering challenge. If you are passionate about developing fast solvers, exploring boundaries in hybrid or hardware-accelerated optimization, and tackling problems at scale, we would be thrilled to have you onboard.,

As an integral part of an innovative technology scale-up company at the forefront of Quantum Computing, Artificial Intelligence, and Semiconductor Engineering, you will play a crucial role in advancing enterprise quantum computing solutions. Your primary responsibility will involve modeling coupled superconducting-qubit systems, developing Hamiltonian-level descriptions, and conducting extensive numerical simulations to assess error-correction performance. Collaborating closely with processor-design engineers, you will refine qubit-control schemes to enhance architecture and efficiency. Additionally, you will create simulation workflows and computational tools to forecast coherence times, gate fidelities, and other essential device metrics. Your expertise will be instrumental in designing experimental protocols for quantum-state and process tomography, with a focus on integrating findings into theoretical models. Furthermore, you will be expected to contribute to peer-reviewed publications, technical reports, and design-of-experiments decisions. Emphasizing a culture of robust peer review, knowledge exchange, and interdisciplinary cooperation will be a key aspect of your role within the quantum-hardware program. To excel in this position, you must possess a postgraduate degree (MSc/M.Tech/PhD) in Physics, Electrical Engineering, or a related field, with a solid foundation in quantum mechanics. Your proficiency in Hamiltonian engineering, circuit QED, and superconducting-qubit error-correction schemes is imperative. Demonstrated experience in numerical methods, computational modeling of quantum circuits, and proficiency in Python-based quantum platforms such as QuTiP, Qiskit, or Cirq are essential. Your track record of designing protocols for measuring coherence times, gate fidelities, and tomography will be highly valued. Strong problem-solving abilities, effective communication skills, and a history of peer-reviewed publications in quantum technology are prerequisites for this role. Additionally, familiarity with bosonic codes, autonomous error-correction techniques, and advanced value-engineering methods will be advantageous. Experience in crafting analytical reports to influence design-of-experiments strategies and experimentation roadmaps will be beneficial. Prior exposure to GPU-accelerated simulators, distributed-computing pipelines for large-scale quantum modeling, open-source quantum software libraries, or standards bodies will be considered favorable. Knowledge of hybrid AI-quantum workflows or domain-specific optimization in areas such as life sciences, finance, or materials will further enhance your profile for this position. Your expertise in qubit-control schemes, semiconductor technology, quantum-state and process tomography, artificial intelligence, computational modeling of quantum circuits, Hamiltonian engineering, and other specified skills will be pivotal in driving the success of the quantum-hardware program.,

Our vision at Micron Technology is to transform how the world uses information to enrich life for all. As a part of the TD Advanced Modeling Group in Hyderabad, you will be working with a highly skilled team of engineers specializing in process, equipment, structures, and materials modeling to support Micron's Memory development and manufacturing challenges. Your primary responsibility will be to work on a project supporting the P4DSS program, which involves stress-strain analysis applied to semiconductor products. This role requires you to collaborate with team members, deploy stress models, and communicate results effectively in a dynamic and fast-paced environment. Qualifications: - Ability to work independently on projects and maintain documentation - Strong teamwork skills - Proficiency in numerical methods and scientific computing - Background in constitutive modeling in solid mechanics - Familiarity with machine learning, deep learning, and thermo-mechanical modeling - Experience with FEA tools, specifically Abaqus and ANSYS - Excellent debug and problem-solving capabilities - Experience in writing technical reports and conference papers - Exceptional written and verbal communication skills - Comfortable working in a team environment and using remote collaboration tools - Background in the semiconductor industry is a plus Experience: 5+ years of Modeling with a Bachelor's degree, 3+ years with a Master's degree, or 1+ years with a Ph.D. in Applied Mechanics, Materials Science, Mechanical Engineering, or related engineering and physics fields. Micron Technology, Inc. is a global leader in memory and storage solutions, driving innovation in information processing to enhance life for everyone. Our focus on customer satisfaction, technology leadership, and operational excellence allows us to offer a range of high-performance memory and storage products through our Micron and Crucial brands. Our team's innovations power the data economy, enabling advancements in artificial intelligence, 5G applications, and more. For more information, please visit micron.com/careers. If you require assistance during the application process or need reasonable accommodations, please reach out to hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and adheres to all relevant laws, regulations, and international labor standards.,