JobsSenior Systems Software Engineer - GPU Performance at Scale
Senior Systems Software Engineer - GPU Performance at Scale
NVIDIASenior Systems Software Engineer - GPU Performance at Scale
NVIDIALocation
remote, Santa Clara, CA
Type
Full-time
Posted
5/10/2026
Compensation
$184,000 - $356,500 per year
Undergraduate with 5+ Years of Experience
Approval 99.2%·Filings 1,781·New hires 873·
👑 Elite Sponsor
·FY 2025Job description
NVIDIA is seeking a dedicated Senior Systems Software Engineer focused on GPU Performance at Scale. This role is integral to driving innovation in AI and GPU computing, contributing to the development of world-class computing hardware and software. The engineer will work closely with researchers, developers, and customers to enhance workflows and create leading solutions. The position requires collaboration with various specialists to architect and optimize large-scale performance platforms.
Requirements
- Proven understanding of accelerated computing software stacks, specifically CUDA.
- Experience with modern cloud and container-based enterprise computing architectures, preferably with Slurm.
- Strong programming and scripting experience in C, C++, Python, and Bash.
- Deep expertise in systems architecture and the impact of various components on performance.
- Experience with container technology and Linux-based operating systems, 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.
- Bachelor's degree in Engineering, Mathematics, Physics, or Computer Science, with 8+ years of applicable experience; MS or PhD desirable.
Responsibilities
- Lead the implementation of performance practices in large-scale GPU infrastructure.
- Align next-generation AI workloads with next-generation datacenter builds for NVIDIA GPUs, CPUs, and networking hardware.
- Develop engineering solutions that provide continuous insights into the performance of AI workloads.
- Decompose high-complexity performance or stability issues into minimal reproduction cases.
- Participate in collaborations with various software and firmware teams to develop outstanding methods and tools.
- Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale.
Benefits
- Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.
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