Senior Staff Software Engineer
In short. Senior Staff Software Engineer at NVIDIA: a full-time lead or staff-level role, fully remote (Remote, CA). The employer does not list a salary. Asks for 12+ years of experience. Main work: Define and implement metrics to measure the efficiency of compute platforms & services and drive efficiency. Posted Nov 13, 2026, checked on the employer's site 31 min ago.
- Early applicant
Opens NVIDIA's own application page. No sign-up on Sudo Get Job.
Summary
We are seeking a highly skilled Senior Staff Software Engineer to join our dynamic team. Our company is at the forefront of technological innovation, and we are dedicated to driving efficiency and optimizing the performance of our infrastructure both on-prem and cloud. Join us in this exciting endeavor! Lead initiatives to transform IT Compute platform architecture to build new service offerings across On-Prem & Cloud.
Quoted from NVIDIA's description, not rewritten.
About the role
NVIDIA has been reinventing computer graphics, PC gaming, and accelerated computing for 30 years. It is 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, generative AI, 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.
We are seeking a highly skilled Senior Staff Software Engineer to join our dynamic team. Our company is at the forefront of technological innovation, and we are dedicated to driving efficiency and optimizing the performance of our infrastructure both on-prem and cloud. Join us in this exciting endeavor!
What You Will Be Doing:
- Lead initiatives to transform IT Compute platform architecture to build new service offerings across On-Prem & Cloud.
- Define and implement metrics to measure the efficiency of compute platforms & services and drive efficiency.
- Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes.
- Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.
- Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.
What We Need To See:
- Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience
- 12+ years of proven experience in compute platform engineering with a focus on automation.
- Proven experience in designing and deploying virtualization architectures
- In-depth knowledge of hardware technologies, including SR-IOV, DPU, and GPU, with a track record of implementing these in virtualized and containerized environments.
- Proven experience evaluating existing application architectures and identify opportunities for containerization to improve scalability, reliability, and efficiency.
- Strong analytical skills with the ability to define and track key performance metrics.
- Experience in developing tools for data analysis and performance profiling, Development with Terraform, Config Management tools.
- Proficiency in programming languages such as Go and/or Python.
- Experience with running large environments consisting of BareMetal, large scale virtualized environments with a mix of tens of thousands of VM’s and cloud infrastructure.
Ways To Stand Out From The Crowd:
- Deep understanding of other infrastructure components like Storage, DNS, LDAP, Security Tools etc..
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Solid understanding of microservices architecture, infrastructure as code (IaC) and configuration management tools.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative and autonomous, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 200,000 USD – 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Opens NVIDIA's own application page. No sign-up on Sudo Get Job.
