
10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ 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.
đ September 30
đ California â Remote
đľ $184k - $356.5k / year
â° Full Time
đ Senior
đ Backend Engineer
đŚ H1B Visa Sponsor
đť Ghost score 14%
Where this job comes from
Posted on NVIDIA's careers page â, not through a job board
First seen by Remote Rocketship September 30
Still open on NVIDIA's site. Checked 3 hours ago.

10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ 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 Go controllers and APIs to install, upgrade, and validate GPU cluster software ⢠Integrate components, define API contracts, and evolve Helm and Argo CD delivery toward controller-driven automation ⢠Build validation pipelines informing release decisions across providers and GPU platforms ⢠Develop systems to allocate GPU capacity across validation runs and account for cloud reservations and quotas ⢠Improve qualification efficiency through reusable tests and clear failure reports ⢠Bring new providers and GPU hardware into production ⢠Resolve integration failures with partner teams ⢠Turn initial provisioning, upgrade, and operational checks into repeatable automation ⢠Collaborate across Runtime, Release Engineering, and Provider Integration
⢠6+ years building production infrastructure software or distributed systems ⢠Strong programming skills in Go or another language, with willingness to work primarily in Go ⢠Kubernetes experience and depth in at least one area: controllers and operators, release automation, test and validation systems, or cloud integration ⢠Experience delivering engineering projects, diagnosing complex failures, and collaborating across teams ⢠BS or MS in Computer Science, Engineering, or equivalent experience ⢠Experience with controller-runtime, CRDs, and reconcilers (valuable, but not required) ⢠Experience with release qualification across multiple environments or platforms (valuable, but not required) ⢠Experience with GPU infrastructure, accelerated networking, or GPU scheduling (valuable, but not required) ⢠Experience bringing new hardware, regions, or cloud providers into production (valuable, but not required) ⢠Experience with resource allocation, leasing, fair-share scheduling, upstream integration, compatibility, or software supply chain integrity (valuable, but not required)
⢠Equity ⢠Benefits
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