4 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Drive technical direction and execution for AI and generative AI workloads on GPU platforms.
- Explore and optimize LLMs, transformer-based models, computer vision, and other AI/ML workloads.
- Develop GPU solutions using matrix acceleration, mixed-precision computation, quantization, and other hardware acceleration capabilities.
- Analyze end-to-end workload performance across models, frameworks, compilers, runtimes, GPU kernels, and hardware architecture.
- Drive compiler and runtime optimizations for performance, power efficiency, and scalability.
- Evaluate emerging AI models, algorithms, frameworks, and optimization techniques for future GPU architectures.
- Collaborate with GPU architecture teams on recommendations for future architectural capabilities.
- Develop prototypes and proof-of-concepts for new GPU AI workload ideas.
- Provide technical leadership, conduct design reviews, mentor engineers, and communicate findings to engineering and leadership audiences.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field and 8+ years of Systems Engineering or related experience; or a master's degree and 7+ years; or a PhD and 6+ years.
- Experience with AI workloads, GPU platforms, compiler technologies, runtimes, performance optimization, and hardware acceleration.
- Ability to provide technical leadership, conduct design reviews, mentor engineers, and communicate technical trade-offs and recommendations.
Categories
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.