CPU/DSP Performance Engineer

Benchmark and analyze performance of multi-threaded and multi-processor software. Identify and resolve performance bottlenecks across software, architecture, and micro-architecture layers. Analyze ML KPIs to guide optimization efforts. Collaborate with cross-functional teams across hardware and software domains. Develop and maintain tools for performance analysis and tuning. Stay current with advancements in computer architecture, micro-architecture, and AI model design. Proficiency in low‑level debugging and performance analysis, including interpreting traces, counters, and system‑level behavior Strong background in operating systems, computer architecture, and micro-architecture. Experience with multi-threaded and multi-processor systems. Strong programming skills in C/C++, Python, or similar. Excellent problem-solving skills and attention to detail. Strong collaboration and communication skills. Hands-on experience with debugging (gdb, lldb, winDbg or similar) and performance profiling tools (perf, VTune, Nsight or similar). Familiarity with SIMD and SPMD execution models. Understanding of hardware-software co-design principles. Familiarity with linear algebra, and precision aware arithmetic is a plus. Understanding of how ML architectures map to the hardware is a plus. Knowledge of ML frameworks and libraries (ggml/llama.cpp or similar) is a plus. Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 2+ years of relevant experience. OR Master's degree in a related field and 1+ years of relevant experience. OR PhD in a related field. Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field and 3+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. 2+ years of experience with high-performance microprocessor design.