GPU Performance and Benchmarking Engineer

Role Responsibilities:

• Design and execute performance benchmarks for AI training and inference workloads.
• Profile and characterize GPU workloads to identify performance bottlenecks and optimization opportunities.
• Systematically tune workload parameters such as batch size, precision, parallelism, and memory to maximize throughput.

Qualifications:

• 3–7 years of experience in GPU performance engineering, benchmarking, or HPC.
• Hands-on experience with GPU profiling tools like NVIDIA Nsight, DCGM, nccl-tests, MLPerf, and GPU-Burn.
• Strong understanding of AI/ML workload performance characteristics and familiarity with major GPU platforms.

Compensation:

• Base salary range between $140,000 and $150,000, depending on experience, background, and location.
• Comprehensive benefits package including 100% company-paid medical, dental, and vision insurance.
• 401(k) with 100% match up to 4%, professional development reimbursement, PTO, sabbatical, and remote work stipends.