Job description

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. Are you passionate about building world-class reliability systems? Join NVIDIA as a Senior Software Engineer - Resilience Engineering, DGX Cloud, and be a pivotal part of a team that redefines operational excellence. Our team is at the forefront of redefining how DGX Cloud approaches reliability, making it an outstanding opportunity to develop strategies and drive innovation. We're looking for a seasoned engineer with experience in running large-scale systems and a deep understanding of operational practices. What you'll be doing: • Build org-wide reliability strategy, guiding how NVIDIA matures its operational practices in a 24/7 environment. • Stand up a rigorous SLO program, defining and maintaining high standards across teams. • Lead incident response for high severity incidents, ensuring low drama and high signal resolution. • Build and improve production code daily, enhancing our data platform and related tooling. • Implement chaos engineering, failure injection, and resilience testing to elevate our team's standard practices. • Improve standards by setting an example with your hands-on experience and leadership. What we need to see: • Deep, hands-on experience running large-scale production systems with a proven track record. • A detailed understanding of failure modes in large systems, including cascading dependencies and retry storms. • Strong software engineering skills with current, hands-on experience in Go, Python, or similar languages. • Proven experience in establishing and maintaining an SLO program with operational rigor. • Practical experience in reliability fields such as chaos engineering and failure injection. • The ability to influence across team boundaries through credibility and expertise. • 8+ years of industry experience • Bachelor's or Master's degree, or equivalent experience operating systems at scale. Ways to stand out from the crowd: • Experience within a world-class reliability function like Google SRE or Meta production engineering. • Expertise in operating GPU, HPC, or AI training infrastructure with outstanding failure modes. • A track record of measurable reliability improvements within an organization. • Proficiency with modern observability and operational tools like Prometheus, OpenTelemetry, Grafana, PagerDuty, and Rootly. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 1, 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.

Requirements

Must-haves

Build org-wide reliability strategy, guiding how NVIDIA matures its operational practices in a 24/7 environment.
Stand up a rigorous SLO program, defining and maintaining high standards across teams.
Lead incident response for high severity incidents, ensuring low drama and high signal resolution.
Build and improve production code daily, enhancing our data platform and related tooling.
Implement chaos engineering, failure injection, and resilience testing to elevate our team's standard practices.
Improve standards by setting an example with your hands-on experience and leadership.
Deep, hands-on experience running large-scale production systems with a proven track record.
A detailed understanding of failure modes in large systems, including cascading dependencies and retry storms.
Strong software engineering skills with current, hands-on experience in Go, Python, or similar languages.
Proven experience in establishing and maintaining an SLO program with operational rigor.
Practical experience in reliability fields such as chaos engineering and failure injection.
The ability to influence across team boundaries through credibility and expertise.
8+ years of industry experience
Bachelor's or Master's degree, or equivalent experience operating systems at scale.
Experience within a world-class reliability function like Google SRE or Meta production engineering.
Expertise in operating GPU, HPC, or AI training infrastructure with outstanding failure modes.
A track record of measurable reliability improvements within an organization.
Proficiency with modern observability and operational tools like Prometheus, OpenTelemetry, Grafana, PagerDuty, and Rootly.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigopython

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision