Senior Systems Performance Engineer
$172,500–$210,000 year
On-site · San Francisco, California, United States
Job Summary
Seeking a Senior Systems Performance Engineer to lead end-to-end hardware evaluation and scaling of AI infrastructure, ensuring peak efficiency of SOTA AI models across hardware architectures. Responsibilities include architectural strategy, full-stack optimization, performance modeling, hardware-software co-design, and infrastructure scaling. Candidates should have 5+ years of experience in hardware evaluation, deep knowledge of x86 and ARM architectures, and proficiency in Python and C++. Experience with cycle-accurate simulators, performance modeling for secure environments, and the ability to analyze RTL is essential.
Required Qualifications
- 5+ Years experience in end-to-end hardware evaluation, reliability, and scaling of AI infrastructure
- Proven experience in building and optimizing AI application systems for large-scale GPU infrastructure
- Deep knowledge of x86 and ARM architectures
- Ability to write and debug ARMv8 assembly
- Ability to implement data synchronization protocols (MESI/MOESI)
- Ability to analyze RTL via simulation waveforms
Desired Qualifications
- Expert-level proficiency in Python
- Expert-level proficiency in C++
- Experience with cycle-accurate simulators
- Experience with hardware debuggers like Lauterbach Trace32 or ARM DS-5
- Experience with performance modeling for secure environments (e.g., Intel SGX, TDX, VM Encryption)
- Experience with high-performance computing benchmarks
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