PE- CPU Software & Hardware Co-Design Engineer (ML Systems)
Qualcomm Incorporated (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own CPU software–hardware co-design for next-generation QMX architectures focusing on ML workloads, including workload characterization, simulation, kernel optimization, and performance bottleneck analysis.
- Develop and optimize highly efficient ML kernels and libraries (e.g., GEMM, convolution, attention) integrated with ML frameworks to enable ML workloads on CPU platforms.
- Collaborate closely with CPU architecture and design teams to provide data-driven insights and influence future CPU architectural enhancements based on real workload performance.
Minimum Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 8+ years of software engineering or related experience OR Master's degree with 7+ years OR PhD with 6+ years.
- 4+ years of experience programming in C/C++ (mandatory).
- Work Experience Required: Minimum 6-8 years software engineering or related experience depending on degree level.
- Experience with performance profiling, benchmarking, and optimization.
Ideal Candidate Profile
- Experienced in CPU architecture and systems programming with strong machine learning fundamentals, focusing on ML workload performance optimization.
- Proficient in low-level software development including kernel development, SIMD/vectorization, and memory/cache optimization for CPU-centric ML workloads.
- Able to transform real ML workload analysis into actionable architectural insights influencing future CPU designs, especially for vector/SIMD extensions like QMX.