Performance/ Benchmark Engineer - NVIDIA GPU Systems

Yoh Services LLC; California (MO); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Medical benefits

Dental & Vision

401K Retirement

Job summary

Yoh Services LLC is seeking a hands-on Performance/ Benchmark Engineer to characterize and optimize AI workloads on large-scale NVIDIA GPU infrastructure, including DGX and B200/B300 systems. You will focus on GPU compute performance, AI inference, and system benchmarking while collaborating across architecture, compute, and networking teams.

The role requires deep hands-on GPU benchmarking experience, strong Python scripting, and proficiency with CUDA/NCCL.

Qualifications

• Deep hands-on experience with NVIDIA GPU compute platforms and AI/ML performance benchmarking.
• Strong understanding of AI inference, model performance, workload characterization, and GPU architecture.
• Experience with NVIDIA DGX, B200/B300, H100/H200, Blackwell, Hopper, or comparable GPU systems.
• Experience analyzing performance metrics including latency, throughput, GPU utilization, memory bandwidth, and multi-GPU scaling.
• Strong scripting and automation skills using Python or similar languages.

Responsibilities

• Develop and execute performance benchmarks for AI inference and machine learning workloads across NVIDIA GPU systems.
• Characterize performance on platforms including NVIDIA DGX and B200/B300-based systems, analyzing throughput, latency, utilization, memory behavior, and scaling efficiency.
• Evaluate AI models and workload configurations to identify performance bottlenecks and recommend system or architecture improvements.
• Build benchmarking methodologies, automation, and reporting frameworks to produce repeatable performance results.
• Collaborate with architecture, compute, networking, and software teams to optimize end-to-end AI cluster performance.

Skills

NVIDIA GPU

AI benchmarking

Python scripting

Performance analysis

Education

BS in CS/EE

Tools

CUDA

NCCL

TensorRT

PyTorch

Nsight

Job description

Performance/ Benchmark Engineer - NVIDIA GPU Systems

NVIDIA GPU Systems / AI Inference / Performance Engineering

Overview

Seeking a hands-on Performance and Benchmarking Engineer to characterize and optimize AI workloads running on large-scale NVIDIA GPU infrastructure. This role sits within an architecture team and focuses primarily on GPU compute performance, AI inference, and system-level benchmarking, with networking performance as a secondary consideration.

Key Responsibilities

• Develop and execute performance benchmarks for AI inference and machine learning workloads across NVIDIA GPU systems.
• Characterize performance on platforms including NVIDIA DGX and B200/B300-based systems, analyzing throughput, latency, utilization, memory behavior, and scaling efficiency.
• Evaluate AI models and workload configurations to identify performance bottlenecks and recommend system or architecture improvements.
• Build benchmarking methodologies, automation, and reporting frameworks to produce repeatable performance results.
• Collaborate with architecture, compute, networking, and software teams to optimize end-to-end AI cluster performance.

Required Qualifications

• Deep hands-on experience with NVIDIA GPU compute platforms and AI/ML performance benchmarking.
• Strong understanding of AI inference, model performance, workload characterization, and GPU architecture.
• Experience with NVIDIA DGX, B200/B300, H100/H200, Blackwell, Hopper, or comparable GPU systems.
• Experience analyzing performance metrics including latency, throughput, GPU utilization, memory bandwidth, and multi-GPU scaling.
• Strong scripting and automation skills using Python or similar languages.

Preferred Qualifications

• Experience with MLPerf, CUDA, NCCL, TensorRT, Triton Inference Server, PyTorch, Nsight, or similar AI performance and profiling technologies.
• Experience benchmarking LLMs, inference workloads, distributed training, or large-scale GPU clusters.
• Familiarity with RDMA, RoCE, InfiniBand, Ethernet, GPUDirect RDMA, or networking considerations affecting GPU cluster performance.

Estimated Min Rate: $250,000.00/Annually

Estimated Max Rate: $300,000.00/Annually

What’s In It for You?

We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements.

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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