{"id":4217078,"url":"https://alion.io/job/nvidia-senior-software-engineer-resilience-engineering-dgx-cloud-2","title":"Senior Software Engineer, Resilience Engineering - DGX Cloud","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":751,"ghost_share":0.024,"stale_share":0.581,"repost_share":0.057,"time_to_fill_p50_days":43,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Chaos Engineering","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"PagerDuty","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false}],"status":"live","first_seen_at":"2026-11-12T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T03:06:43Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nAre 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.\nWhat you'll be doing:\nBuild org-wide reliability strategy, guiding how NVIDIA matures its operational practices in a 24/7 environment.\nStand up a rigorous SLO program, defining and maintaining high standards across teams.\nLead incident response for high severity incidents, ensuring low drama and high signal resolution.\nBuild and improve production code daily, enhancing our data platform and related tooling.\nImplement chaos engineering, failure injection, and resilience testing to elevate our team's standard practices.\nImprove standards by setting an example with your hands-on experience and leadership.\nWhat we need to see:\nDeep, hands-on experience running large-scale production systems with a proven track record.\nA detailed understanding of failure modes in large systems, including cascading dependencies and retry storms.\nStrong software engineering skills with current, hands-on experience in Go, Python, or similar languages.\nProven experience in establishing and maintaining an SLO program with operational rigor.\nPractical experience in reliability fields such as chaos engineering and failure injection.\nThe ability to influence across team boundaries through credibility and expertise.\n10+ years of industry experience with a Bachelor's or Master's degree, or equivalent experience operating systems at scale.\nWays to stand out from the crowd:\nExperience within a world-class reliability function like Google SRE or Meta production engineering.\nExpertise in operating GPU, HPC, or AI training infrastructure with outstanding failure modes.\nA track record of measurable reliability improvements within an organization.\nProficiency with modern observability and operational tools like Prometheus, OpenTelemetry, Grafana, PagerDuty, and Rootly.\nWidely 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/\nYour base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:184,000 USD - 287,500 USD for Level 4; and 224,000 USD - 356,500 USD for Level 5.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 16, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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