GPU Performance and Benchmarking Engineer

Key

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 (batch size, precision, parallelism, memory, etc.) to maximize throughput - Establish and maintain performance baselines and success criteria across GPU platforms - Develop benchmarking tools, scripts, and automation for repeatable performance validation - Analyze and report benchmark results with actionable recommendations for engineering teams - Validate performance of new GPU hardware platforms before production deployment - Collaborate with GPU Engineers and Fabric Engineers to correlate performance with system-level health - Track and evaluate emerging GPU architectures and software releases for performance impact - Document benchmarking methodologies, tuning playbooks, and performance best practices

Qualifications - 3-7 years of experience in GPU performance engineering, benchmarking, or HPC - Hands-on experience with GPU profiling and benchmarking tools (e.g., NVIDIA Nsight, DCGM, nccl-tests, MLPerf, GPU-Burn) - Strong understanding of AI/ML workload performance characteristics (training vs. inference, batch sizing, precision modes) - Experience tuning performance parameters across GPU, CUDA, and framework layers - Familiarity with major GPU platforms (NVIDIA, AMD) and their performance tooling - Proficiency in Python for benchmark scripting and data analysis - Basic understanding of Linux systems and server hardware - Familiarity with high-speed networking concepts (InfiniBand, RoCE, NCCL) and their impact on distributed performance - Strong analytical skills with the ability to translate data into clear recommendations - Excellent written communication skills for performance reports and documentation Compensation $140,000 - $150,000 Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws.

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