
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 0 minutes ago
🏄 California – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Build an organization-wide reliability strategy for NVIDIA's 24/7 operational environment • Establish and maintain a rigorous SLO program across teams • Lead incident response for high-severity incidents • Build and improve production code for the data platform and related tooling • Implement chaos engineering, failure injection, and resilience testing • Improve operational standards through hands-on experience and leadership
• Deep, hands-on experience running large-scale production systems with a proven track record • 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 establishing and maintaining an SLO program with operational rigor • Practical experience in chaos engineering and failure injection • Ability to influence across team boundaries through credibility and expertise • 10+ 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 operating GPU, HPC, or AI training infrastructure • Track record of measurable reliability improvements • Proficiency with Prometheus, OpenTelemetry, Grafana, PagerDuty, and Rootly
• Highly competitive salaries • Comprehensive benefits package • Equity
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