Datacenter & Agentic AI Workload Performance Analysis Engineer
Core
Analyze datacenter and agentic AI workloads to characterize behavior and uncover opportunities for better CPU performance, efficiency, and scalability on RISC-V platforms.
Role type
Workload Performance Analysis Engineer
Builds
Next-generation RISC-V CPUs for cloud, enterprise, and emerging AI workloads
Domain
Semiconductor / Computer Architecture / AI Infrastructure
Deliverable
production ML models
Required skills
CPU performance analysis, workload characterization, computer architecture, CPU microarchitecture, profiling and simulation data analysis, C/C++, Python, Bash/Shell, assembly programming, systems software knowledge
Preferred skills
RISC-V expertise, RTL design collaboration, compiler technology knowledge, cloud infrastructure understanding
Technologies
Linux perf, strace, QEMU, CPU microarchitecture simulators
Responsibilities
Bring real-world applications onto RISC-V platforms and characterize their behavior, correlate simulation results with hardware behavior, reduce large production workloads for performance modeling, collaborate with CPU architects and software engineers to translate insights into architectural improvements
Seniority
Senior, hands-on IC
