4 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Develop and maintain GPU performance models for architecture evaluation.
- Analyze graphics and compute workloads to identify bottlenecks through profiling and workload characterization.
- Design and execute performance experiments and simulations.
- Conduct architectural trade-off studies, root-cause analysis, and performance projections.
- Bring up workloads on performance models by fixing bugs and developing new features.
- Evaluate new features and recommend improvements to performance and efficiency.
- Build automation tools, workflows, and methodologies for performance analysis.
- Collaborate with architecture, software, compiler, and hardware teams on feature development and optimization.
- Present findings and influence future architecture decisions.
Requirements
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related field plus 4+ years of Systems Engineering or related experience; or a master’s degree plus 3+ years; or a PhD plus 2+ years.
- Strong understanding of computer architecture and strong analytical, debugging, and problem-solving skills.
- Proficiency in C/C++ and Python.
- Experience with architectural simulators, performance prediction, performance analysis, profiling, and workload characterization.
- Preferred experience with GPU, CPU, and memory architecture or graphics fundamentals.
- Preferred knowledge of modern 3D graphics pipelines and APIs including Vulkan, DX12, and OpenGL.
- Preferred experience building performance-analysis tools and automation frameworks.
- Technical leadership and cross-functional collaboration experience are preferred.
- Strong verbal and written communication skills.
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.