About the role
What will you do 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. 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. 10+ years of industry experience with a 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
June 27, 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure
powers global intelligence, transforming every industry. Learn more about
NVIDIA.
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