Senior Data Center Performance Engineer - Benchmarking and Optimization
Santa Clara, California, United States · On-site
$184k–$357k/yr
Senior+$29B raised
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Skills: Performance Engineering, System Architecture, Computer Architecture, GPU Computing, CUDA
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Skills: Solutions Architecture, Distributed Systems, Kubernetes, AI Workloads, NVIDIA Dynamo
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Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
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Senior Business Systems Analyst, SAP Services Manufacturing
Santa Clara, California, United States · On-site
$144k–$270k/yr
Senior+$29B raised
For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass personal compu…
Skills: SAP PP, SAP MM, SAP ECC 6.0, S/4 HANA, Supply Chain Management
Software Development Engineer, SageMaker HyperPod Data Plane
Santa Clara, California, United States · On-site
$165k–$224k/yr
Mid level$67M raised
At AWS AI, we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker, AWS is building customer-facing services to empower data scientists and software engineers i…
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Skills: Business Operations, Executive Reporting, Financial Forecasting, Strategic Planning, Data Analysis
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Santa Clara, California, United States · On-site
$211k–$338k/yr
Senior+$529M raised
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the …
Skills: Financial modeling, Cash flow forecasting, Working capital management, Corporate FP&A, Balance sheet analysis
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Global Supply Chain Rotational Program, Buyer I, New College Grad- Bachelor's (Santa Clara, CA)
Santa Clara, California, United States · On-site
$62k–$85k/yr
Entry level$2.2B raised
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Sr. Product & Customer Insights Manager, Customer Experience and Business Trends
Santa Clara, California, United States · On-site
$136k–$206k/yr
Senior$67M raised
Amazon is looking for a Sr. Product & Customer Insights Manager to join our Customer Experience and Business Trends team. Our team’s mission is to deeply understand and improve customer experiences globally. As a Sr. Pro…
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Senior Software Engineer - AI Inference Performance
Santa Clara, California, United States · On-site
$184k–$357k/yr
Senior$29B raised
NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a Senior Software Engineer – AI Inference Performance to advance innovative LLM and VLM inference. You will push workloads towar…
Senior Technical Marketing Engineer - DSX AI Infrastructure Software
Santa Clara, California, United States · Hybrid
$160k–$322k/yr
Senior+$29B raised
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Skills: Infrastructure engineering, Systems engineering, Kubernetes, Slurm, GPU infrastructure
Principal Software Engineer, Retail and CPG Platform Architecture
Santa Clara, California, United States · On-site
$240k–$380k/yr
Senior+$29B raised
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Senior Data Center Performance Engineer - Benchmarking and Optimization
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$184k–$357k/yr
Full-time
postgraduate degree
Equity, Health Insurance
Posted 16d ago
~40 hrs/week
Responsibilities
The engineer will design and execute performance benchmarking strategies for data center platforms while characterizing AI and HPC workloads at scale. They will also collaborate with cross-functional teams to identify performance bottlenecks and drive system-level optimizations.
Requirements
Candidates must hold an M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with at least 8 years of experience in performance engineering. Proficiency in GPU computing, parallel programming, and performance profiling tools is essential for this role.
Full job description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
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
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 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Related keywords
Data CenterGPUAIHPCBenchmarkingOptimizationPerformance EngineeringSystem ArchitectureCUDAPythonC++InfiniBandNVLinkRoCELinux PerfNVIDIA Nsight Systems
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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