NVIDIA is looking for an exceptional engineer to grow and thrive alongside our HPC Infrastructure team that designs, evaluates, and optimizes the compute inrastructure powering NVIDIA's next-generation silicon design and AI
workloads. You will be the primary architecture reviewer and performance champion for new data center clusters being built across multiple sites globally.
What you'll be doing:
Own data center architecture reviews for new HPC clusters — evaluating compute, storage,networking, and cooling decisions and challenging assumptions before clusters are built.
Serve as the BDC representative in cluster build meetings across multiple simultaneous programs (GPU compute clusters, AI infrastructure, and EDA environments), driving architecture alignment independently.
Analyze and validate cluster design choices across storage-to-compute distance, cross-mount latency, rack layout, and multi-site topology — and surface risk and tradeoff recommendations to leadership.
Lead performance benchmarking and profiling of HPC cluster infrastructure, running sanity benchmarks, regression suites, and cluster health checks to identify bottlenecks early.
Drive infrastructure optimization at multiple layers: scheduler-level tuning (LSF/Slurm),hardware-level tuning (GPU, CPU, networking, storage), and OS/kernel-level tuning (NUMA binding, socket binding, huge page configuration, kernel image selection).
Collaborate with platform and operations teams on cluster health, capacity planning, and operational readiness for tapeout milestones.
Partner with vendors and internal teams to evaluate new hardware, storage systems, and networking fabrics; produce architecture recommendations backed by data.
Continuously improve infrastructure observability, benchmarking frameworks, and architecture documentation to raise the bar across the BDC HPC platform.
What we need to see:
B.E./B.Tech or M.Tech/M.S. with 5+ years of hands-on experience in HPC infrastructure, data center architecture, systems engineering, or a senior SRE/platform engineering role at scale.
Deep understanding of data center architecture fundamentals: compute (CPU/GPU servers), storage (parallel file systems, NVMe, tiered storage), and high-speed networking (InfiniBand,Ethernet, NVLink).
Proven ability to evaluate and challenge infrastructure design decisions — including rack layout, power/cooling constraints, storage-to-compute distance, and network fabric topology.
Experience with OS and kernel-level performance tuning: NUMA binding, socket affinity, huge page configuration, kernel image selection, and system parameter optimization.
Hands-on experience with large-scale Linux HPC cluster administration using workload managers such as LSF and/or Slurm, including job scheduling optimization and resource utilization analysis.
Strong Linux/Unix system administration skills and proficiency in scripting (Python, Bash, or Perl) for automation and analysis.
Experience running HPC performance benchmarks, cluster health checks, and profiling tools to identify infrastructure bottlenecks.
Excellent problem-solving and communication skills — able to synthesize complex architectural tradeoffs and present clear recommendations to engineering leadership.
Skills Required
- B.E./B.Tech or M.Tech/M.S. with 5+ years of hands-on experience in HPC infrastructure, data center architecture, systems engineering, or senior SRE/platform engineering at scale.
- Deep understanding of data center architecture: CPU/GPU servers, parallel file systems, NVMe, tiered storage, InfiniBand, Ethernet, and NVLink.
- Proven ability to evaluate and challenge infrastructure design decisions including rack layout, power/cooling constraints, storage-to-compute distance, and network fabric topology.
- Experience with OS and kernel-level performance tuning: NUMA binding, socket affinity, huge page configuration, and kernel image selection.
- Hands-on experience administering large-scale Linux HPC clusters and workload managers such as LSF and/or Slurm, including job scheduling optimization and resource utilization analysis.
- Strong Linux/Unix system administration skills and proficiency in scripting for automation and analysis (Python, Bash, or Perl).
- Experience running HPC performance benchmarks, cluster health checks, and profiling tools to identify infrastructure bottlenecks.
- Excellent problem-solving and communication skills to synthesize architectural tradeoffs and present recommendations to leadership.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
