Senior Systems Software Engineer - GPU Performance at Scale

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Job summary

NVIDIA Corporation, located in Santa Clara, CA, is seeking a Senior Systems Software Engineer focused on GPU Performance at Scale. This role entails leading performance practices in large-scale GPU infrastructure and aligning AI workloads with next-generation datacenter builds.

The ideal candidate will possess a strong background in CUDA and programming languages like C/C++, with an emphasis on teamwork and communication. Salary ranges from $184,000 to $287,500 for Level 4 and $224,000 to $356,500 for Level 5.

Qualifications

• BS in Engineering, Mathematics, Physics, or Computer Science; MS or PhD desirable with 8+ years of experience.
• Proven understanding of accelerated computing software stacks (CUDA).
• Strong programming and scripting experience in C/C++/Python/Bash.

Responsibilities

• Lead the implementation of performance practices in large-scale GPU infrastructure.
• Align next-generation AI workloads with datacenter builds for NVIDIA GPUs.
• Develop engineering solutions that provide continuous insights into performance.

Skills

Accelerated computing software stacks (CUDA)

Cloud and container-based computing architectures

Programming in C/C++/Python/Bash

Deep expertise in systems architecture

Container technology and Linux-based OSes

High-performance computing or deep learning

Teamwork and communication skills

Education

BS in Engineering, Mathematics, Physics, or Computer Science

MS or PhD desirable

Tools

Docker

Slurm

Job description

Senior Systems Software Engineer – GPU Performance at Scale

We are looking for a dedicated engineer for the Senior Systems Software Engineer role, focusing on GPU Performance at Scale. The position will drive innovation in AI and GPU computing.

What You’ll Be Doing

• Lead the implementation of performance practices in large‑scale GPU infrastructure, delivering powerful tools, methodologies, and flows to validate and improve multiple datacenter products concurrently.
• Align next‑generation AI workloads with next‑generation datacenter builds for NVIDIA GPUs, CPUs, and networking hardware.
• Engage early with HW/FW/SW/platform internal and customer teams.
• Develop engineering solutions that provide continuous insights into the performance of AI workloads in evolving environments, generating swift insights into improvements and regressions.
• Decompose high‑complexity performance or stability issues into minimal reproduction cases, working towards identifying the root cause.
• Participate in collaborations with various SW and FW teams (BMC/SBIOS/OS/drivers, etc.) to develop outstanding methods and tools.
• Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale.

What We Need to See

• Proven understanding of accelerated computing software stacks (CUDA).
• Experience with modern cloud and container‑based enterprise computing architectures, with Slurm preferred.
• Strong programming and scripting experience in C/C++/Python/Bash.
• Deep expertise in systems architecture and the impact of various components on performance.
• Experience with container technology and Linux‑based OSes, with Docker preferred.
• Experience supporting high‑performance computing or deep learning in engineering or academic research communities.
• Strong teamwork and communication skills, coupled with results‑focused analytical abilities.
• BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience); MS or PhD desirable with 8+ years of applicable experience.

Ways to Stand Out From the Crowd

• End‑to‑end GPU performance engineering from the profiler to systems analysis.
• Linux systems programming and optimization experience.
• Exposure to virtualization techniques and cloud platform solutions.
• Experience with scheduling and resource management systems.
• Experience with large‑scale HPC environments.

Salary & Benefits

Base salary range is USD $184,000–$287,500 for Level 4, and USD $224,000–$356,500 for Level 5. You will also be eligible for equity and additional benefits. Applications will be accepted until May 31, 2026.

EEO Statement

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and is a proud equal opportunity employer. NVIDIA values diversity and does not discriminate 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.