Senior HPC Platform Architect

NVIDIA Corporation; India; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

NVIDIA is seeking an exceptional engineer to join our HPC Infrastructure team that designs, evaluates, and optimizes compute infrastructure powering NVIDIA's AI workloads. The role spans compute, storage, networking, and cooling decisions and requires rigorous design reviews.

You will be the primary architecture reviewer and performance champion for data center clusters built across multiple sites globally, driving alignment, benchmarking, and optimization with cross‑functional teams and

Qualifications

• 5+ years hands-on experience in HPC infrastructure or senior SRE/platform engineering.
• Strong knowledge of data center architecture: compute, storage and networking.
• Experience evaluating and challenging infrastructure design decisions including rack layout and cooling constraints.
• OS/kernel-level performance tuning (NUMA binding, huge pages, socket affinity).
• Experience with large-scale Linux HPC cluster administration and workload managers (LSF/Slurm).
• Proficiency in scripting for automation and analysis (Python, Bash, or Perl).
• Excellent problem-solving and communication skills for leadership briefs.

Responsibilities

• Own data center architecture reviews for new HPC clusters across compute, storage, networking, and cooling.
• Serve as architecture reviewer in multi-site cluster build meetings, driving alignment.
• Analyze and surface risks and tradeoffs in design choices.
• Lead performance benchmarking and profiling of HPC infrastructure.
• Drive multi-layer optimization: scheduler, hardware, OS, and kernel settings.
• Collaborate with platform and operations teams on health, capacity, and tapeout readiness.
• Partner with vendors to evaluate new hardware and networking fabrics and produce data-backed recommendations.
• Improve observability, benchmarking frameworks, and architecture documentation.

Skills

Linux/Unix system administration

Scripting (Python Bash Perl)

OS/kernel-level performance tuning

Data center/HPC infrastructure

Problem solving & communication

Education

Bachelor's or Master's in Engineering or related field

Tools

LSF/Slurm

InfiniBand/Ethernet/NVLink Networking

NVMe/Storage systems

Job description

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.