Workload Performance Analysis Engineer
Job Summary
Working remotely from North America, the Workload Performance Analysis Engineer will analyze and optimize the performance of next-generation RISC-V CPUs for datacenter and agentic AI workloads, collaborating closely with CPU architects and software engineers to translate workload insights into architectural improvements.
Key responsibilities
- Characterize workload behavior and identify performance bottlenecks using profiling and simulation data
- Collaborate with cross-functional teams to influence CPU architecture and performance across various workloads
- Reduce large production workloads for performance modeling and correlate simulation results with hardware behavior
Required qualifications
- PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field with relevant research or industry experience
- Deep understanding of CPU architecture and RISC-V, including pipelines, speculative execution, and memory hierarchies
- Hands-on experience with performance analysis and simulation tools such as Linux perf, QEMU, or CPU microarchitecture simulators
- Strong programming skills in C/C++, Python, Bash/Shell, and assembly or intrinsic programming
- Solid understanding of systems software, including operating systems, virtualization, and compilers
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