4 Performance Modeling Jobs

The culture at the company revolves around its people, who are encouraged to have a passion for technology solutions that have a significant impact on businesses. There is also a focus on supporting individuals in pursuing their own passions. Working at the company provides an opportunity to gain a deep understanding of various industries and emerging technologies, enabling the creation of futuristic and impactful solutions. Moreover, the experience of being part of the team at MarvyLogic can contribute towards personal growth and lead to a more fulfilling life. The ideal candidate for this role should have 3-7 years of experience and be located in Mumbai, Bengaluru, or Bangalore. They should possess the following skills and qualifications: - Proficiency in identifying and defining non-functional requirements and designing systems. - Strong experience in Object-Oriented Analysis and Design (OOAD) and effectively applying Design patterns. - Expertise in the .NET 4.0 framework, ASP .NET, and C#. Familiarity with advanced frameworks such as WCF, WWF, and WPF is essential. Front-end technologies like ASP, HTML, JavaScript, and Ajax are required but not sufficient on their own. - Good understanding of concepts like Caching, Reflection, Parallel programming, Remoting, Garbage collection, Threading, and Web services within the context of .NET systems. - Experience in developing products end-to-end, including deployment at customer premises and generating revenue from the product. - Proficiency in at least one Microsoft server system (SharePoint, BizTalk, Commerce, etc.). - Experience in performance testing and optimization of .NET applications. - Strong experience in at least one Relational Database Management System (RDBMS) such as Oracle, MS-SQL, or MySQL. - Experience in creating and reviewing technical documents like Design specifications, Deployment architecture, Workload modeling, etc. - Excellent understanding of software development methodologies and architectures. - Additional experience in areas like Infrastructure sizing, Capacity planning, Performance modeling, or Cloud Computing would be considered a definite advantage.,

As an NVIDIAN, you will be part of a dynamic team at NVIDIA, a company that has continuously reinvented itself. The invention of the GPU by NVIDIA has not only sparked the growth of the PC gaming market but also redefined modern computer graphics and revolutionized parallel computing. In today's world, the demand for highly scalable and massively parallel computation horsepower, particularly in the field of artificial intelligence research, is on the rise, and NVIDIA GPUs excel in meeting these requirements. At NVIDIA, we are committed to adapting to new opportunities that are challenging, unique, and crucial for the world. Our mission is to amplify human creativity and intelligence, making a lasting impact on the world. You will be part of a diverse and supportive environment where everyone is encouraged to deliver their best work. Join our team and contribute to our journey of innovation and technological advancement. The era of intelligent machines powered by Artificial Intelligence is no longer confined to science fiction. GPU Deep Learning has laid the foundation for machines to learn, perceive, reason, and solve complex problems. NVIDIA's GPUs are at the forefront of running AI algorithms, enabling computers, robots, and self-driving cars to simulate human intelligence effectively. As NVIDIA is increasingly recognized as the leading AI computing company, we invite you to join our Deep Learning Architecture team and contribute to building real-time, cost-effective computing platforms that are driving success in this rapidly growing field. Your responsibilities in this role will include benchmarking and analyzing AI workloads in both single and multi-node configurations, developing high-level simulators and debuggers in C++/Python, evaluating performance, power, and area (PPA) for hardware features and system-level architectural trade-offs, collaborating closely with architecture teams, architecture, and product management for trade-off analysis, and staying updated with emerging trends and research in deep learning. To be successful in this role, you should possess an MS or PhD in a relevant discipline (CS, EE, Math), have at least 2 years of experience in parallel computing architectures, interconnect fabrics, and deep learning applications, demonstrate strong programming skills in C, C++, and Python, exhibit proficiency in architecture analysis and performance modeling, and showcase a curious mindset with excellent problem-solving skills. To stand out from the crowd, having an understanding of modern transformer-based model architectures, experience with benchmarking, projections methodologies, workload profiling, and correlation, and the ability to simplify and communicate complex technical concepts to a non-technical audience will be beneficial. If you are passionate about AI computing and eager to contribute to cutting-edge technological advancements, we encourage you to apply and be a part of our innovative team at NVIDIA.,

Role & responsibilities Mirabilis Design is seeking a Performance Modeling Engineer with a deep understanding of computer architecture to explore and optimize the performance of processor cores, interconnects, and memory subsystems. The ideal candidate will be passionate about architecture-level performance analysis, with a strong theoretical foundation in pipelines, caching, and communication networks. The selected candidate will develop system-level models of emerging electronics standards to cycle-accurate details. This will include a clear understanding of computer architecture, how pipelines work, identify where there are latencies, power consumption of a semiconductor or electronics device, processor pipelines, interconnect, interfaces and memories. The models will be constructed using a combination of VisualSim Architect, VisualSim Script, Java and SystemC. Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. 3+ years of experience in architecture modeling, simulation, or performance analysis of compute systems. Strong understanding of: Processor pipelines (in-order, out-of-order) Cache coherency and memory hierarchies (L1-L3, shared memory) On-chip interconnects (AMBA, NoC, mesh) Queuing theory and throughput/latency trade-offs Experience with one or more simulation tools (e.g., VisualSim Architect, Gem5, SystemC, Simics, etc.) Proficient in C/C++, Python, and scripting for model development and automation. Preferred candidate profile The preferred candidate must have developed performance or power models in the last two or three years. They should be aware of key concepts of systems and semiconductors, in theory. Also, they should understand the pipeline, knowledge of queuing theory, power consumption, and good programming skills. It is preferred they understand and have worked on interconnects (NoCs, AXI bus), Processors (Cortex, Power, RISC-V), Memory Controllers (Synopsys or Cadence), DDR Memory, custom accelerators such as GPU, NPU and AI engines. For recent graduates, they must have done at least one simulation project in class or in an internship. Develop system-level performance models for CPUs, memory hierarchies, and on-chip networks using tools such as VisualSim Architect. Evaluate architecture trade-offs, identify bottlenecks, and propose optimizations for throughput, latency, and power efficiency. Analyze performance of workloads and task schedules across complex compute architectures including CPUs, GPUs, and NPUs. Work closely with hardware architects, software teams, and product managers to guide design decisions. Contribute to the development and validation of simulation libraries and reusable IP models. Preferred Qualifications Experience with ARM architecture, CMN-600, or Arteris NoC. Exposure to machine learning accelerators or heterogeneous SoCs. Familiarity with power modeling and thermal constraints at system level. Experience working with task schedulers or real-time systems.

We are looking for a passionate and self-driven individual to join the NES SOC architecture team and to help define and build NEX SoC(s) for Intel Server, Client and IoT platforms.Your responsibilities will include, but are not limited to:definition, specification and analysis of a family of Interconnects for use with Intel and ARM architecture based SoC(s).- Analysis of IP bandwidth, latency requirements and define SOC Coherent and Non-coherent interconnect.- define interconnect topology- Analysis of workloads and partitioning to determine candidates for coherent and non-coherent interconnect choices.- Performance modeling and Analysis Qualifications: Behavioral traits that we are looking for: Strong problem solving, debugging, multi-tasking, and brainstorming skills Ability to collaborate, be inclusive, and influence across a diverse cross-organizational team Ability to analyze the solution for various pros/cons Work will include a combination of individual contribution and leveraging team participation through mentoring and leadership of technical initiatives. Minimum Qualifications: A bachelor's degree in Electrical/Electronics Engineering or related field with 12+ years of experience. Or a master's degree with 10+ years of experience. Job Type: Experienced Hire Shift: Shift 1 (India)