Senior GPU Benchmarking & Optimization Engineer

Webhosting; United States; On-site; USD 140,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with matching

Professional development reimbursement

Paid time off

Remote office stipend

Internet reimbursement

Gym reimbursement

Job summary

Vultr is seeking a GPU Performance and Benchmarking Engineer to drive performance validation and optimization of GPU infrastructure through rigorous benchmarking and tuning of AI workloads. The ideal candidate has hands-on experience with GPU performance analysis and AI/ML workload characterization, translating results into actionable tuning recommendations.

This is a highly visible role in a fast-growing cloud company with global data centers and a focus on high-throughput AI compute.

Qualifications

• Deep hands-on experience with GPU performance analysis.
• Experience profiling AI/ML workloads to optimize throughput.
• Ability to translate benchmarks into tuning recommendations.

Responsibilities

• Design and execute performance benchmarks for AI training and inference workloads.
• Profile and characterize GPU workloads to identify 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.

Skills

GPU performance analysis

AI/ML workload characterization

GPU profiling tools

Performance tuning

Data analysis

Tools

Nsight Compute

CUDA profiling

Job description

Vultr is seeking a GPU Performance and Benchmarking Engineer to drive performance validation and optimization of GPU infrastructure through rigorous benchmarking and tuning of AI workloads. The ideal candidate has hands-on experience with GPU performance analysis and AI/ML workload characterization, translating results into actionable tuning recommendations.

This is a highly visible role in a fast-growing cloud company with global data centers and a focus on high-throughput AI compute.