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Jobs(30,534)/Test Engineer Role(82)/Vultr (56) - GPU Performance and Benchmarking Engineer
Vultr

Vultr - GPU Performance and Benchmarking Engineer

Remote - USA$140k - $150k+ Equity1w ago
RemoteMidNATest EngineerGraphics EngineerReportingCUDALinuxPythonData AnalysisDocumentation

Requirements

• 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

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

Benefits

• $140,000 - $150,000 • Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws. • INCLUSION & PRIVACY

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