Performance/ Benchmark Engineer - NVIDIA GPU Systems

Yoh, A Day & Zimmermann Company; California (MO); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Medical+Vision

HSA

Life & Disability

401K

EAP

Direct Deposit

Referral bonus

Training opportunities

Job summary

Yoh, a Day & Zimmermann company, seeks a hands-on Performance/Benchmark Engineer to characterize AI workloads on large-scale NVIDIA GPU systems. The role sits within the NVIDIA GPU Systems architecture team and focuses on GPU compute performance, AI inference, and system benchmarking.

Responsibilities include developing benchmarks, analyzing latency, throughput, and memory behavior, and collaborating across architecture, compute, networking, and software teams to optimize end-to-end performance

Qualifications

• Deep hands-on experience with NVIDIA GPU compute platforms and AI/ML performance benchmarking.
• Strong understanding of AI inference, model performance, and GPU architecture.
• Experience with DGX, B200/B300, H100/H200, Blackwell, Hopper or comparable GPUs.
• Experience analyzing latency, throughput, GPU utilization, memory bandwidth, and scaling.
• Proficient in Python scripting and automation.

Responsibilities

• Develop and execute benchmarks for AI inference on NVIDIA GPU systems.
• Characterize throughput, latency, and memory on DGX and B200/B300 platforms.
• Identify bottlenecks and propose hardware/software improvements.
• Create benchmarking methods, automation, and reporting for repeatable results.
• Collaborate to optimize end-to-end AI cluster performance.

Skills

GPU compute platforms

AI/ML benchmarking

Python scripting

Multi-GPU scaling

System-level benchmarking

Tools

CUDA

Nsight

TensorRT

PyTorch

NCCL

Triton Inference Server

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

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.

Benefit eligibility is in accordance with applicable laws and client requirements.

Benefits include:

• 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

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 subject criminal penalties and civil liability.