NVIDIA Corporation

Senior Data Center Performance Engineer - Benchmarking and Optimization

NVIDIA Corporation$184K — $356K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field (or equivalent experience)
  • 8+ years of experience in performance engineering or system architecture
  • Deep understanding of computer architecture and hardware-software interaction
  • Strong proficiency in performance profiling tools (Linux perf, NVIDIA Nsight Systems)
  • Familiarity with GPU computing and parallel programming (CUDA)
  • Background with HPC networking technologies (InfiniBand, RoCE, NVLink)
  • Programming skills in Python, C++, and shell scripting alongside strong analytical abilities

Responsibilities

  • Design and execute performance benchmarking strategies for data center platforms
  • Characterize real-world AI training, inference, and HPC workloads at scale
  • Define, track, and report key performance indicators such as throughput and latency
  • Build automation tools and frameworks for performance monitoring and analysis
  • Identify and analyze performance bottlenecks across various subsystems
  • Collaborate with cross-functional teams to resolve performance issues
  • Drive improvements through system tuning, optimization, and architectural recommendations

Benefits

  • Comprehensive health insurance
  • Equity options
  • Supportive and diverse work environment
  • Flexibility in work arrangements
  • Opportunities for continuous learning and development
Full Job Description
NVIDIA has a rapidly expanding ecosystem of data center platform designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each brings together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads.

What you will be doing:
  • Design and execute comprehensive performance benchmarking strategies for our data center platforms and products
  • Characterize real-world AI training, inference, and HPC workloads at scale
  • Define, track, and report key performance indicators (throughput, latency, efficiency, scaling)
  • Build automation tools and frameworks for performance monitoring and analysis
  • Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems
  • Work closely with architecture, hardware, software, networking, storage and customer teams to resolve performance issues
  • Drive performance improvements through system tuning, configuration optimization, and architectural recommendations for future generation systems


What we need to see:
  • M.S. or Ph.D. in Computer Science, Electrical Engineering or related field (or equivalent experience).
  • 8+ years of experience in performance engineering or system architecture
  • Deep understanding of computer architecture, hardware-software interaction and computing at-scale
  • Strong proficiency in performance profiling tools (Linux perf, NVIDIA Nsight Systems)
  • Familiarity with GPU computing and parallel programming (CUDA)
  • Background with HPC networking technologies (InfiniBand, RoCE, NVLink)
  • Programming skills in Python, C++, and shell scripting. Excellent analytical and problem-solving abilities
  • Adaptability and passion to learn new technologies
  • Ability to communicate effectively and work with cross-functional global teams


Ways to standout from the crowd:
  • Experience with AI/ML frameworks (PyTorch, TensorFlow, JAX). Knowledge of MPI, collective communications (NCCL), distributed training and inference. Familiarity with NVIDIA DGX, HGX platforms and other data center solutions
  • Familiar with containers, cloud provisioning and scheduling tools (Docker, Kubernetes, SLURM). Understanding of storage systems and I/O performance
  • Track record of performance optimization in production environment. Experience with AI code generation tools


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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