2337 Software Engineering Jobs

We are looking for a skilled Senior Software Engineer with 2 to 7 years of experience to join our team at Omega Healthcare Management Services Pvt. Ltd., located in Mumbai. Roles and Responsibility Design, develop, and test software applications using various programming languages and technologies. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain high-quality, reliable, and scalable software systems. Troubleshoot and resolve technical issues efficiently. Participate in code reviews and contribute to improving overall code quality. Stay updated with industry trends and emerging technologies to enhance skills and knowledge. Job Strong understanding of software development principles, patterns, and practices. Proficiency in one or more programming languages such as Java, Python, C++, etc. Experience with database management systems and querying languages like SQL. Familiarity with agile development methodologies and version control systems like Git. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Looking for a skilled Senior Software Engineer to join our team at Omega Healthcare Management Services Pvt. Ltd.,. Roles and Responsibility Design, develop, and test software applications using various programming languages and technologies. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain high-quality, efficient, and well-documented code. Troubleshoot and resolve technical issues efficiently. Participate in code reviews and contribute to improving overall code quality. Stay updated with industry trends and emerging technologies to enhance skills and knowledge. Job Strong understanding of software development principles, patterns, and practices. Proficiency in one or more programming languages such as Java, Python, C++, etc. Experience with database management systems and querying languages like SQL. Familiarity with agile development methodologies and version control systems like Git. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Overview Power/Thermal Software products team at Qualcomm to achieve industry leading Power/Thermal/Limit SW management solution on Qualcomm Mobile, Automotive, Compute, IoT and AR/VR chipsets. In this position, the candidate will be working with cross-functional teams to identify Power optimizations/Perf tuning, thermal/limits HW tuning/characterization/risks assessment and provide optimized solutions with proper Mitigation. The candidate will need to perform system level analysis of Power/thermal use cases, expected to collaborate with Architecture, HW design, Performance, Power/Thermal Systems and various software teams to work towards optimal system level Power/thermal SW solution. In addition, the candidate will need to develop tools and methodologies for competitive analysis to learn about competitors strengths and weaknesses, and come up with thermal mitigations schemes that are best in the industry. Minimum Qualifications Bachelor's/Master’s degree in Engineering, Information Systems, Computer Science, or related field. 10+ years experience in embedded systems design & development with Programming Language such as C, C++, Java, Python, etc. Preferred Qualifications Systems/HW background with a good understanding of microprocessor architecture and common SoC hardware blocks (Interconnects, Display, Graphics etc.) Operating systems concepts - scheduling, memory management, process management, interrupt handling and device drivers Using debug tools like JTAG debugger, oscilloscopes, logic analyzers. Knowledge on power or Power/thermal management SW development. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Preferred Qualifications: Master's Degree in Engineering, Information Systems, Computer Science or related field. 4+ years of Software Engineering or related work experience. 2+ years of experience with Database Management Software . 2+ years of experience with API. 1+ year of work experience with Git, Perforce, or Source Code Management System. Principal Duties and Responsibilities: Applies Software knowledge and experience to design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs. Analyzes user needs and software requirements to design and customize software for optimal operational efficiency. Designs and implements software modules for products and systems. Participates in the design, coding for large features, unit testing, significant debugging fixes, and integration efforts to ensure projects are completed to specifications and schedules. Performs code reviews and regression tests as well as triages and fixes issues to ensure the quality of code. Collaborates with others inside project team to accomplish project objectives. Writes technical documentation for Software projects. Level of Responsibility: Works under supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Qualification and Experience: Bachelor's degree in Engineering, Information Systems, Computer Science, Electronics At least 9 to 11 years of experience in below areas Prior work on embedded products Knowledge of building continuous integration pipelines Understanding of bug databases and how to use them, for example Orbit Experience with git, A thorough understanding of software configuration management especially using Git Good understanding of build systems Good understanding of debug techniques Good Understanding of Linux software architecture Good understanding of configuration management Designing and optimizing deployment scripts and processes Good knowledge of GNU/Linux Shell scripting Proven success in taking ownership of CI systems for embedded products that require extensive hardware testing infrastructure Good understanding of embedded software, this will help understanding the CI system for the products Skills: C, Python scripting, bash script programming Linux System concepts, Linux Kernel Internals and driver concepts. Exposure to distributions: debian, openwrt, yocto SCM toolsgit, repo Automation development experience with Github, Jenkins Prior experience in Continuous Integration and Build System is a plus Strong debugging and problem-solving skills Passionate about the Build and Integration and software automation Knowledge in managing source control systems, software versioning, Git branching strategies and integrations on multiple projects and repositories. Excellent communicative, interpersonal and leadership skills with ability to work efficiently in both independent and teamwork environments. Key Responsibilities: Collaborate cross-functionally with stakeholders to gather and understand the requirements Participate in setting standards for various stages in project lifecycle. Lead the team to deliver a high-quality product on a defined schedule. Highlight risks and gaps early in the project life-cycle to identify the correct path forward. Evaluate new tools and technology to ensure an automated and stable environment Doing Impact analysis (arch, tech teams, baseline), providing inputs to leads, propose Branching strategy & interim milestones. Ensure meeting release criteria for key customers - Sanity, Stability, Conformance Test Suites, Power, Perf, fine-tuned testing based on need. Task definition and work breakdown including time estimation. Ability to work with minimal requirements and manage multiple tasks. Collaborate closely with Software and Test Teams. Excellent understanding of CI systems. Maintain the current CI system including defect investigation. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Job Overview: Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are investing in several supporting technologies including 4G, 5G, Edge Computing, and Deep Learning.The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond. We are seeking ambitious, bright and innovative engineers with experience in Machine learning frameworks, compiler technology, vectorization and optimization, and machine learning toolchains.Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. We are looking to staff engineers at multiple levels in systems & software, integration and test. Details of one of the roles we are looking to staff are listed below. Responsibilities: Research, design, develop, enhance, and implement the different components of machine learning framework, compilers based on performance and code-size needs of the customer workloads and benchmarks. Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. Analyze and identify system level integration issues, interface with the software development, integration and test teams. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 8+ years Systems Engineering or related work experience. Preferred Qualifications Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow. Has experience in model level optimization using techniques like torch compile. LLVM or any industrial strength compiler development experience is a plus. Knowledge of the structure and function of the compiler internals. Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Hands-on experience implementing DSP Kernels a plus Hands-on Experience in C/C++, Python development (5+ years) Hands-on Experience with Object Orientated Design, TDD development solutions such as GoogleTest etc. (4+ years) Experience with Source Code and Configuration management tools, git knowledge is required Willingness to work in a cohesive software development environment with ability to work on low level implementation (code & test) and interfacing with hardware and simulators Experience in neural network architectures + ML compiler workload synthesis, a plus Prior working experience of hardware accelerators and hardware software co-design Experience in using C++ 14/17 (advanced features) Experience at both the firmware (RTOS) and system level (Linux) in SOC Experience of profiling software and optimization techniques Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Overview Qualcomm's QCT Automotive Software team is responsible for building embedded, next-generation system-on-chip solutions for Connected Infotainment segment as part of a Global Qualcomm Automotive initiative across sites/continents. We are looking for Software Engineers with strong expertise in performance analysis and system optimization for upcoming Automotive products. As a performance and architecture engineer, candidates will own or participate in one or more of the following-Multiple aspects of architectural analysis and modeling, including forecasting CPU/MIPS, bus bandwidth, and memory utilization for current and next generation chipsets to meet the growing product requirements on processors across various subsystems on the SoC -Perform detailed analysis of the existing software to provide innovative recommendations to improve performance and memory utilization, including software optimizations, SW/HW partitioning, cache/TCM sizing, etc.. -Develop tools for silicon profiling, validation and debugging across all SOC components -Identifying Benchmarks for Performance Qualification, defining goals and optimization Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 8+ years Software Engineering or related work experience. 5+ years experience with Programming Language such as C, C++, etc. Strong in Linux kernel and device drivers and understanding of ARM architecture, RTOS, Hypervisor, Virtualization, KVM. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Engineer with 8+yrs of industry experience required in one or more of the following areas- Experience in Performance optimizations in one or more of the following:- CPUs, GPU, DDR, Sensor, MM Benchmarks analysis -Exposure to heterogeneous computing and co-processor architecture -Deep understanding of ARM system, DSP and CPU architecture with Strong C/C++ working knowledge -Hypervisor architecture (Intel, ARM, AMD, etc.) is a plus -Embedded System architecture(s) with exposure to one or more RTOS (e.g., Android, Linux, Windows10, iOS, Symbian, QNX, etc.) - Embedded software design. Strong software development skills, C and C++ programming, problem analysis, and debugging skills. - Knowledge in real-time microprocessor-based embedded programming and embedded real-time operating systems. Solid understanding of computer system architecture (core, cache, memory models, bus architecture, etc.) and common hardware blocks for security access control (e.g., crypto acceleration, OTP, MPU, etc.). - Ability to derive, document, and present high-level system requirements from the associated detailed technology requirements. -Exposure to ML (Machine Learning) Networks and Windows Tool development. Team Leading Skill: Should have experience of leading technical team

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Summary: Qualcomm is seeking a seasoned Staff Engineer, DevOps to join our central software engineering team. In this role, you will lead the design, development, and deployment of scalable cloud-native and hybrid infrastructure solutions, modernize legacy systems, and drive DevOps best practices across products. This is a hands-on architectural role ideal for someone who thrives in a fast-paced, innovation-driven environment and is passionate about building resilient, secure, and efficient platforms. Key Responsibilities: Architect and implement enterprise-grade AWS cloud solutions for Qualcomm’s software platforms. Design and implement CI/CD pipelines using Jenkins, GitHub Actions, and Terraform to enable rapid and reliable software delivery. Develop reusable Terraform modules and automation scripts to support scalable infrastructure provisioning. Drive observability initiatives using Prometheus, Grafana, Fluentd, OpenTelemetry, and Splunk to ensure system reliability and performance. Collaborate with software development teams to embed DevOps practices into the SDLC and ensure seamless deployment and operations. Provide mentorship and technical leadership to junior engineers and cross-functional teams. Manage hybrid environments, including on-prem infrastructure and Kubernetes workloads supporting both Linux and Windows. Lead incident response, root cause analysis, and continuous improvement of SLIs for mission-critical systems. Drive toil reduction and automation using scripting or programming languages such as PowerShell, Bash, Python, or Go. Independently drive and implement DevOps/cloud initiatives in collaboration with key stakeholders. Understand software development designs and compilation/deployment flows for .NET, Angular, and Java-based applications to align infrastructure and CI/CD strategies with application architecture. Required Qualifications: 10+ years of experience in IT or software development, with at least 5 years in cloud architecture and DevOps roles. Strong foundational knowledge of infrastructure components such as networking, servers, operating systems, DNS, Active Directory, and LDAP. Deep expertise in AWS services including EKS, RDS, MSK, CloudFront, S3, and OpenSearch. Hands-on experience with Kubernetes, Docker, containerd, and microservices orchestration. Proficiency in Infrastructure as Code using Terraform and configuration management tools like Ansible and Chef. Experience with observability tools and telemetry pipelines (Grafana, Prometheus, Fluentd, OpenTelemetry, Splunk). Experience with agent-based monitoring tools such as SCOM and Datadog. Solid scripting skills in Python, Bash, and PowerShell. Familiarity with enterprise-grade web services (IIS, Apache, Nginx) and load balancing solutions. Excellent communication and leadership skills with experience mentoring and collaborating across teams. Preferred Qualifications: Experience with api gateway solutions for API security and management. Knowledge on RDBMS, preferably MSSQL/Postgresql is good to have. Proficiency in SRE principles including SLIs, SLOs, SLAs, error budgets, chaos engineering, and toil reduction. Experience in core software development (e.g., Java, .NET). Exposure to Azure cloud and hybrid cloud strategies. Bachelor’s degree in Computer Science or a related field Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Key Responsibilities: Design, develop, and maintain RESTful APIs using .NET or Java. Well versed with different type of databases. Write optimized, scalable, and high-performance backend code. Collaborate with QA teams to ensure comprehensive test coverage and software reliability. Integrate data from various backend services and databases. Create and maintain detailed software documentation. Deliver high-quality work within project timelines. Mentor junior team members and conduct knowledge-sharing sessions and presentations. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Preferred Qualifications: 2+ years of overall software development experience. 2+ years of experience with backend technologies such as Java, C#, ASP.NET, .NET Core, Entity Framework, and Docker. 2+ years of experience with SQL or other database management systems. 2+ years of experience with Spring Boot and REST API development; familiarity with protocols like socket or Thrift APIs is a plus. 2+ years of experience with version control systems such as Git or Perforce. What We Offer: Opportunity to work on cutting-edge technologies with a global impact. Collaborative and inclusive work environment. Continuous learning and professional development.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Preferred Qualifications: 4+ years of experience with Programming Language such as Angular, React JS, Typescript with handson experience and expertise in any one of the UI frameworks etc. 4+ year of experience with Nodejs 4+ year of experience with SQL or any Database Management Software. 4+ year of experience with Electron, REST APIs/Knowledge on different protocols like socket/thrift APIs is a plus. 4+ year of work experience with Git, Perforce, or Source Code Management System. Principal Duties and Responsibilities: Applies Software knowledge to assist and support the design, development, creation, modification, and validation of embedded software, applications, and/or specialized utility programs. Analyzes user needs and software requirements, Designs and implements small software features for products and systems. Participates in the design, coding for small features, unit testing, minor debugging fixes, and integration efforts to ensure projects are completed on schedule. Assists in performing code reviews and regression tests as well as the triaging of issues to ensure the quality of code. Collaborates with others inside project team to accomplish project objectives. Writes technical documentation for Software projects Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Minimum Qualifications: Bachelor’s degree in computer science, Electrical/Electronics Engineering, Engineering, or related field.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Preferred Qualifications: Master's Degree in Engineering, Information Systems, Computer Science or related field. 4+ years of Software Engineering or related work experience. 2+ years of experience with Database Management Software . 2+ years of experience with API. 1+ year of work experience with Git, Perforce, or Source Code Management System. Principal Duties and Responsibilities: Applies Software knowledge and experience to design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs. Analyzes user needs and software requirements to design and customize software for optimal operational efficiency. Designs and implements software modules for products and systems. Participates in the design, coding for large features, unit testing, significant debugging fixes, and integration efforts to ensure projects are completed to specifications and schedules. Performs code reviews and regression tests as well as triages and fixes issues to ensure the quality of code. Collaborates with others inside project team to accomplish project objectives. Writes technical documentation for Software projects. Level of Responsibility: Works under supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Qualcomm ADAS/Autonomy team is engaged in offering optimized solutions built on DSP, computer vision and machine learning algorithms for the Qualcomm ADAS/Autonomy SoCs. We are seeking engineers with experience in system and SoC SW level functional safety concepts. The job requires understanding and defining of the Safety Concept and Architecture, Software Safety requirements, defining and deploying safety processes and development of Safety software by following the ISO26262 software processes. Interaction with customers, architects and test/integration teams are required as part of the job. The job also involves working with the Software quality team for adherence of ISO26262 and ASPICE processes. In this role, the candidate will work with local and global teams to understand, define and implement and productize Automotive specific features including software enablement (drivers/BSP/RTOS/AUTOSAR MCAL), security, functional safety, and power applied to Automotive products on our current and next generation SoCs. The candidate will also have the responsibility to coordinate and execute plans which will encompass validation of all the feature requirements. The Candidate will have the responsibility to identify and address any abnormal discoveries by root-causing and providing detailed corrective actions in the form of optimizations and/or fixes. When possible, the candidate is expected to prototype and pre-validate recommended fixes. Additionally, the candidate will be responsible for any automation of design under test along with validation efforts and working closely with design/production/bench IP teams. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. 2 years of Embedded Software Development experience, including low level drivers, and RTOS The candidate should possess 3 to 6 years of industry experience in embedded software driver development and having expertise in one or more below areas would be preferred: Should be able to ramp up fast and must have the attitude to work with the team. Strong C and Assembly Programming with OS & Multi-Processor concepts Embedded software development in C and C++ on ARM or similar cores. Hands on experience of driver development on any RTOS, Experience in SafeRTOS/FreeRTOS based development is nice to have Experience in Autosar MCAL development is nice to have Experience in Autosar BSW integration and validation is nice to have ARM Trust-Zone & ARMv7/v8 architecture. Good debugging skills with experience on debugging with Lauterbach JTAG debuggers. Work on challenging customer requirements and issues. Basic understanding one or more of hardware blocks - Clocks, PLLs, GPIO, Interrupt Controllers (GIC), Peripherals (SPI/I2C/UART/CAN/Ethernet/Clock/etc) Automotive SW development experience is must have Experience in ISO26262/functional safety and ASPICE is highly desirable Basic knowledge on Power Mgmt. IC is desirable Knowledge of Software/Hardware Security concepts is desirable Closely work with the hardware team to contribute/suggest modifications to the hardware design. Any past working experience on Qualcomm chips nice to have

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Are you ready to combine the fast-paced energy of an innovative startup with the resources and stability of a global tech leaderThis opportunity blends both worlds into one. Edge Impulse has joined forces with the Industrial Embedded IoT division of Qualcomm, and we are growing our team because Edge AI is an important part of Qualcomm’s diversification roadmap. Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to GPUs. The ease of use and versatility that Edge Impulse provides supports customers launching AI-empowered devices globally to solve the planet's biggest problems with novel high-tech solutions. Used by health and wearable organizations, industrial organizations, as well as top silicon vendors, Edge Impulse has become the trusted ML platform for enterprises and developers alike. As a Developer Relations Engineer at Edge Impulse, you will play a pivotal role in engaging, educating, and supporting the developer community. The primary focus is to drive awareness and adoption of Edge Impulse’s edge AI technology through a combination of technical content, community engagement, and hands-on development. This role bridges the engineering team and the broader developer community. Empower developers to build, optimize, and deploy edge AI models effectively with our platform. This role offers immense potential for growth, learning, and impact within a collaborative and inclusive team. Primary Responsibilities Responsibilities span multiple domains – from Community Engagement to Content Creation and Developer Advocacy – it takes creativity, resilience, and willingness to learn Grow and nurture the Edge Impulse developer user base through the creation and maintenance of external technical documentation content of the Edge Impulse platform and features Create and present workshops, videos, webinars, demos for engineering conferences and developer events to represent Edge Impulse to the wider developer community and grow user engagement. Preferred Skills and Experience A minimum of 5 years in Developer Relations, Developer Advocacy, or a similar role, with a focus on AI and IoT solutions A minimum of 5 years of relevant experience in technical writing Proven professional experience in public speaking to technical audiences Excellent communication and presentation skills to explain complex technical concepts to diverse audiences Clear track record with community engagement such as managing user forums, handling technical questions from other developers, and running developer-focused workshops Proficiency in languages commonly used in ML and edge AI (e.g., Python, C++) and familiarity with ML workflows and deployment. Experience with LLMs and VLMs is a plus Experience creating technical content, including blog posts, tutorials, videos, and documentation Demonstrated ability to build and nurture developer communities, both online and offline Some experience with video production and exposure to social media best practices, usage of various social channels, and presence on key channels Fluency in a second or third language is highly valued Academic Credentials Master’s degree in engineering, computer science, or other relevant field preferred Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Job Overview Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are investing in several supporting technologies including 4G, 5G, Edge Computing, and Deep Learning. The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond. We are seeking ambitious, bright and innovative engineers with experience in Machine learning frameworks, compiler technology, vectorization and optimization, and machine learning toolchains. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. We are looking to staff engineers at multiple levels in systems & software, integration and test. Details of one of the roles we are looking to staff are listed below. Responsibilities Research, design, develop, enhance, and implement the different components of machine learning framework, compilers based on performance and code-size needs of the customer workloads and benchmarks. Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. Analyze and identify system level integration issues, interface with the software development, integration and test teams. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 8+ years Systems Engineering or related work experience. Preferred Qualifications Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow. Has experience in model level optimization using techniques like torch compile. LLVM or any industrial strength compiler development experience is a plus. Knowledge of the structure and function of the compiler internals. Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Hands-on experience implementing DSP Kernels a plus Hands-on Experience in C/C++, Python development (5+ years) Hands-on Experience with Object Orientated Design, TDD development solutions such as GoogleTest etc. (4+ years) Experience with Source Code and Configuration management tools, git knowledge is required Willingness to work in a cohesive software development environment with ability to work on low level implementation (code & test) and interfacing with hardware and simulators Experience in neural network architectures + ML compiler workload synthesis, a plus Prior working experience of hardware accelerators and hardware software co-design Experience in using C++ 14/17 (advanced features) Experience at both the firmware (RTOS) and system level (Linux) in SOC Experience of profiling software and optimization techniques Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Candidate MUST have: Strong C & C++ programming and debugging skills. Good analytical skills to debug complex issues. Good academics and from reputed institutions Strong knowledge in operating system fundamentals like virtual memory, CPU scheduling, process states, synchronization, etc. Strong communication skills - able to understand and explain highly technical information in a clear and concise manner. Ability to work with teams across countries and time zones Good to have: *Understanding of Camera functionality and Image quality concepts *Experience on Image Signal Processing. * Strong knowledge in LA build Infrastructure * Camera end-to-end use case design and feature implementation * Power and performance optimization background Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 1-2 years of relevant experience. Additional Key responsibilities : Working as part of multi-skilled IOT platform team working across different tech areas on various Linux based operating systems. Feature development for Android and Linux/Ubuntu based Snapdragon products. Contributing to end-to-end software execution of Qualcomm SoC based IOT products. Ensuring that the product deliverables are made on-time, and are competitive with respect to functionality, stability and performance. Working closely with geographically distributed core & execution teams spread across time-zones. : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Strong development experience (3-6 years) with C/C++ and good programming skills. Strong hands-on experience on Android and/or Ubuntu and understanding of Linux related concepts like systemd, SELinux, Snaps, Sandboxing, Container, Docker, etc. Good understanding of Linux kernel and internals. Good understanding of SOC systems and related concepts, including bring-up. Good know-how of Multimedia subsystems like Camera, Video, Audio, Display and Graphics. Strong hands-on experience with troubleshooting software and system issues. Strong hands-on experience with full software development life cycle including design, implementation, deployment and support. Strong aptitude, quick learner, self-motivated, willing to explore and work across breadth of various technology areas. Deductive problem solving, good verbal and written communication skills for collaboration across teams.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: This role demands good understanding of Android Internals and Linux System level expertise to bring up Android on Embedded devices. (S)He would be leading the team of engineers who are working on building/managing Automation tools set up for Integrating AOSP code base on Qualcomm Internal baseline. Should able to guide & getting the work down with the team members working across Geos. Shall possess Good Android system level knowledge which is mandatory to resolve functional/Stability related issues identified in AOSP code. (S)He will be participating in Design, Implementation and debug of system level features coming on Android. Shall get to understand the forward-looking New Features/Debug Functionality coming in Android & adapt them to Qualcomm Platform. Minimum Qualifications: Good understanding of software development life cycle Expertise in build and integration and release process/management (GNU Make, Android, Git repositories etc.) Familiar with Android Open Source Project and open source tools Good knowledge of scripting languages mainly Shell and Python Good knowledge in Tools/Automation design and development Working knowledge of Android and in Linux environment Experience in android build system, integration and associated tools Good in analyzing, debugging and fixing Android System level issues. Self-motivated, adaptable, and independent, capable of working with limited supervision, pro-actively reporting on status and tasks 8+ years of hands-on experience in above areas. Good to Have: Experience in Linux continuous integration development and Linux based build system enhancement Good Knowledge in programming using scripting languages such as Shell and Python Plan and execute product software integration/testing and build/release Knowledge on AI/ML algos Knowledge on Cloud technologies – PaaS or SaaS Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Preferred Qualifications: The ideal candidate needs to have Strong Embedded system knowledge, Experience on Windows Internals and good driver development. Solid understanding of Operating System concepts, RTOS, FW management. Windows kernel driver developmen t experience. Good in performance analysis. Understanding and experience in Designing and Implementing Windows Kernel mode drivers, Board support package, ACPI & UEFI. Strong communication and interpersonal skills. Strong problem solving and debugging skills. Good in performance analysis. Principal Duties and Responsibilities: Strong knowledge on Windows OS internals and Windows Driver knowledge (KMDF) Windows Device driver programming and debugging with WinDbg, JTAG/other tools. ARM Processor architecture and Assembly Language. Experience with PC software - System BIOS, UEFI, ACPI, Drivers, Applications Embedded OS (Kernel architecture, OS services heap, memory, multi-core, multi-threading, and crash debugging). Knowledge of OS/system performance profiling and optimization techniques. Communication, written & interpersonal skills, motivation, the ability to learn quickly. Level of Responsibility: Works under supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Key responsibilities : Working as part of multi-skilled IOT platform team working across different tech areas on various Linux based operating systems. Contributing to end-to-end software execution of Qualcomm SoC based IOT products. Work closely with Product Marketng team to understand new platforms, and requirements, Evaluate feature requirements, come up with resource planning, lead a small team on engineers with varied skills Feature development for Android and Linux/Ubuntu based Snapdragon products. Support platform bringups across various SoCs, co-ordianate with cross functional teams on identifying and fix the issues Work with customer engineering team to support customer esclated issues which are platform specific Ensuring that the product deliverables are made on-time, and are competitive with respect to functionality, stability and performance. Working closely with geographically distributed core & execution teams spread across time-zones. : Bachelors/Masters degree in Engineering, Information Systems, Computer Science, or related field. Strong development experience with C/C++ and good programming skills. Experience scoping new requirements, working with cross functional teams, assigning works and managing teams Strong communication skills and analytics skills Strong hands-on experience on Android and/or Ubuntu and understanding of Linux related concepts like systemd, SELinux, Snaps, Sandboxing, Container, Docker, etc. Strong understanding of Linux kernel and internals. Strong understanding of SOC systems and related concepts, including bring-up. Good know-how of Multimedia subsystems like Camera, Video, Audio, Display and Graphics. Strong hands-on experience with troubleshooting software and system issues. Strong hands-on experience with full software development life cycle including design, implementation, deployment and support. Strong aptitude, quick learner, self-motivated, willing to explore and work across breadth of various technology areas. Deductive problem solving, good verbal and written communication skills for collaboration across teams. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Services Group, Engineering Services Group > Gaming Artist General Summary: Job Overview Qualcomm's in-house Game Studio is seeking a skilled technical artist with Unreal Engine experience to work directly with our development team to help create visually stunning PC/Mobile Tech Demos showcasing hardware prowess. Ideal candidate should be able to research & implement art workflows, create suitable tools to meet game production needs. Candidate should help quick prototyping of design ideas using Unreal blueprints, optimizing performance for the target hardware and enforce quality & performance standards set by heads of the department. Minimum Qualifications 7+ years of Gaming/VFX industry experience in the field of Realtime rendering. Demo Reel and technical breakdown showing technical proficiency. Experience optimizing 3D environments, lighting & materials with keen aptitude for visual fidelity. Should posses’ knowledge about Draw calls, Shader complexities, solving material-collision issues. Should know about Particle system creation and optimization techniques. Strong debugging skills, ability to fix and troubleshoot workflow issues in artist software, version control systems, and rendering issues within game engines. Ability to communicate and collaborate with multiple disciplines. Strong ability to work independently. Experience supporting art teams in game development environment. Preferred Qualifications BFA, BA, or Computer Science degree or equivalent on the job experience. Experience working with Particle systems such as Niagara is a huge plus. Game production experience in at least one scripting language such as Python, MEL, Unreal BP or C++. Knowledge of Houdini & it’s Unreal workflow is a huge plus. Experience optimizing art content using profilers such as Unreal Insights or RenderDoc. Experience writing shaders to get the best look within game engine technical limits/constraints. Experience working on AAA games as a technical artist. Experience with 3D graphics related mathematics. Passionate about gaming, well versed in modern game design techniques and best practices. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Education RequiredA BS, MS, or PhD degree in an engineering or computer science related field

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: 10+ years of experience in the embedded domain to design, develop and support software solutions on multi-core ARM (V7A or V8A)/CPUs, Strong C/C++ programming skills. Embedded Platforms experience including low-level firmware, kernel (Linux or QNX), Hypervisor/Virtualization and user-space components. Design and development of software for heterogeneous compute platforms consisting of ARMs, GPUs, DSPs, and specialized hardware accelerators in an embedded SoC systems with J-TAG or ICE debuggers. Experience in real-time SW development for embedded products. Hands-on experience using JTAG to debug real-time problems Hands-on experience using different version control systems like perforce, GIT Expertise in Development of PCI RC/EP Device Driver. Expertise in writing kernel space device drivers in areas of MMU, Power(clocks/thermal). Solid understanding of Linux/QNX boot flow on embedded systems. Solid understanding of computer system architecture (core, cache, memory models, bus architecture, etc.). Experience in Board Bring-up, Device drivers, peripheral buses (SPI, I2C, USB), Memory controller DDR, eMMC, UFS and Performance. Solid understanding of different debug methods offered by Linux Kernel/QNX. Motivated self-starter with excellent verbal and written communication skills, demonstrated ability to work with engineers/partners/customers across different geographies. Hands-on technical lead who is not hesitant to dig into the details where needed to get first-hand knowledge of the issues and play an active and personal role in steering team success Collaborate with internal teams and external partners on analysis and debugging. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job LocationHyderabad More details below About the team Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of trained neural networks on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of devices around the world. Responsibilities In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You will be developing various SW features in our ML stack. You would be porting AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU). You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint. Work Experience 7-9 years of relevant work experience in software development. Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding about Processor architecture, system design fundamentals. Experience with embedded systems development or equivalent.Strong development skills in C and C++. Excellent communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Experience in embedded system development. Experience in C, C++, OOPS and Design patterns. Experience in Linux kernel or driver development is a plus. Strong OS concepts.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Excellent C/C++ Programming Skills. Should have in-depth experience in Linux driver development and in particular Display drivers. Should have hands on experience in Display technologies - MIPI DSI, DisplayPort, HDMI, HDCP, CEC Experience in Android Display framework - SurfaceFlinger, HardwareComposer, Display HAL is an added advantage. Experience in Wayland (display server protocol) and Weston Compositor is an added advantage. Should be strong in OS Concepts, Memory Management. Experience with ARM/ARM64 architecture is a plus. Excellent debugging, analytical and problem solving skills. Strong Communication skills, Self-driven, Positive attitude & hardworking Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.