NVIDIA
Senior System Software Engineer, AI Infrastructure
NVIDIA, Santa Clara, California, us, 95053
Senior System Software Engineer, AI Infrastructure
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Senior System Software Engineer, AI Infrastructure
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NVIDIA 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. You will collaborate with engineering, product, and marketing teams to critically assess our hardware and software solutions, elevating the overall product offering and customer experience. You will be working in a multifaceted environment engaging with multiple groups within the company to improve NVIDIA’s developer products. You will use your system and application development knowledge to evaluate user experience and performance of our AI platforms, SDKs, libraries and AI frameworks. What You’ll Be Doing Run multi‑node training/inference jobs on large GPU clusters to assess performance, validate usability, improve products, and create developer education. Design benchmark suites that spotlight NVIDIA hardware, networking, and software stacks. Profile deep‑learning workloads, identify bottlenecks, and deliver optimization guidance. Produce concise tutorials, scripts, and whitepapers for customers and tech press. Analyze competitive solutions and craft data‑driven product positioning. Present live demos at GTC, CES, SIGGRAPH, and other global conferences. What We Need To See Passionate about AI infrastructure and performance optimization. 3+ years in software development, tech marketing, evangelism, or similar roles. BS/MS in CS, CE, EE, or related field (or equivalent experience). Strong Python and C++ skills for AI and HPC work. Hands‑on multi-node experience with Slurm, Kubernetes, or cloud CSP clusters. Solid grasp of DL architectures, PyTorch, and distributed training methods. Understanding of CPU/GPU architecture plus CUDA, cuDNN, TensorRT‑LLM, Triton, NCCL Excellent written and verbal communication for technical and executive audiences. Ways To Stand Out From The Crowd Hands‑on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers. Public technical blogs, talks, forum activity, or notable open‑source projects as well as prior work with customers and/or technical press on AI performance topics. Exceptional communication skills that simplify complex technology for diverse audiences. Familiarity with modern LLM architectures and ability to write Torch code and occasional custom GPU kernels. Expertise in InfiniBand, NVLink, RoCE, RDMA, and collective‑comm libraries. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3. NVIDIA is committed to fostering a diverse 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.
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Join to apply for the
Senior System Software Engineer, AI Infrastructure
role at
NVIDIA 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. You will collaborate with engineering, product, and marketing teams to critically assess our hardware and software solutions, elevating the overall product offering and customer experience. You will be working in a multifaceted environment engaging with multiple groups within the company to improve NVIDIA’s developer products. You will use your system and application development knowledge to evaluate user experience and performance of our AI platforms, SDKs, libraries and AI frameworks. What You’ll Be Doing Run multi‑node training/inference jobs on large GPU clusters to assess performance, validate usability, improve products, and create developer education. Design benchmark suites that spotlight NVIDIA hardware, networking, and software stacks. Profile deep‑learning workloads, identify bottlenecks, and deliver optimization guidance. Produce concise tutorials, scripts, and whitepapers for customers and tech press. Analyze competitive solutions and craft data‑driven product positioning. Present live demos at GTC, CES, SIGGRAPH, and other global conferences. What We Need To See Passionate about AI infrastructure and performance optimization. 3+ years in software development, tech marketing, evangelism, or similar roles. BS/MS in CS, CE, EE, or related field (or equivalent experience). Strong Python and C++ skills for AI and HPC work. Hands‑on multi-node experience with Slurm, Kubernetes, or cloud CSP clusters. Solid grasp of DL architectures, PyTorch, and distributed training methods. Understanding of CPU/GPU architecture plus CUDA, cuDNN, TensorRT‑LLM, Triton, NCCL Excellent written and verbal communication for technical and executive audiences. Ways To Stand Out From The Crowd Hands‑on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers. Public technical blogs, talks, forum activity, or notable open‑source projects as well as prior work with customers and/or technical press on AI performance topics. Exceptional communication skills that simplify complex technology for diverse audiences. Familiarity with modern LLM architectures and ability to write Torch code and occasional custom GPU kernels. Expertise in InfiniBand, NVLink, RoCE, RDMA, and collective‑comm libraries. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3. NVIDIA is committed to fostering a diverse 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.
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