Datacenter Performance Analysis Engineer – Agentic AI Workload

Posted 13 hours ago

This is a fully remote position, open to applicants in California.

πŸ“‹ Description

β€’ Shape the performance of cutting-edge RISC-V CPUs for contemporary datacenter and intelligent AI workloads.

β€’ Implement real-world applications on RISC-V platforms and analyze their behavior.

β€’ Utilize workload analysis to pinpoint opportunities for enhanced CPU performance, efficiency, and scalability.

β€’ Collaborate with CPU architects, RTL designers, software engineers, and compiler teams to grasp workload execution.

β€’ Convert workload insights into architectural enhancements.

β€’ Simplify large production workloads into representative workloads and traces for performance modeling.

β€’ Align simulation outcomes with hardware behavior.

β€’ Impact CPU architecture and performance across cloud, enterprise, and emerging AI workloads.


⛳️ Requirements

β€’ Solid foundation in CPU performance analysis, workload characterization, or computer architecture, with experience linking software behavior to hardware performance.

β€’ Knowledge of modern CPU microarchitecture, covering superscalar pipelines, speculative execution, memory hierarchies, and vector/SIMD architectures.

β€’ Proficient in using profiling and simulation data to uncover bottlenecks and formulate actionable recommendations.

β€’ Comfortable navigating CPU microarchitecture, RTL, operating systems, compilers, runtimes, and applications.

β€’ Excellent technical communication and teamwork abilities.

β€’ PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related discipline, with substantial research or industry experience in workload characterization, benchmark development, performance analysis, or simulation.

β€’ Profound comprehension of CPU architecture and RISC-V, including pipelines, speculative execution, vector/SIMD extensions, memory hierarchies, and performance trade-offs.

β€’ Practical experience with Linux perf, strace, QEMU, or CPU microarchitecture simulators.

β€’ Strong programming capabilities in C/C++, Python, Bash/Shell, and assembly or intrinsic programming.

β€’ Comprehensive understanding of systems software, incorporating operating systems, virtualization, compilers, runtimes, and GNU/RISC-V software ecosystems.

β€’ Eligibility to access U.S. export-controlled technology, including adherence to applicable U.S. export regulations.


🏝️ Benefits

β€’ Highly competitive compensation package and benefits.

β€’ Variable compensation targets included in the overall compensation range.

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