Urgent! Senior System Software Engineer, AI Infrastructure Job Opening In Santa Clara – Now Hiring 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.
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Doing what’s never been done before takes vision, innovation, and the world’s best talent.
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world.
NVIDIA platforms are at the center of generative AI, autonomous driving, industrial robots, medical instruments and data centers across the world where GPU accelerated AI is revolutionizing the technology industry.
As a platform company we deliver not just hardware solutions but also vertically integrated software stacks, GPU accelerated SDKs, libraries and tools.
As we take our products to market, we need a dedicated and motivated System Software Engineer who is passionate about AI Infrastructure.
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.
Excellent written and verbal communication skills are important.
The ability to work independently and the motivation to pick up new technologies and skills will help you excel on the job.
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.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until August 18, 2025.
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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Unlock Your Senior System Potential: Insight & Career Growth Guide
Real-time Senior System Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior System in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 191180 jobs in United States and 2253 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior System roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior System Software Engineer, AI Infrastructure to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior System Software Engineer, AI Infrastructure Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior System Software Engineer, AI Infrastructure typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior System Software Engineer, AI Infrastructure interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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