
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.
🔥 3 hours ago
🏄 California – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🔙 Backend 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 3 hours ago
Still open on NVIDIA's site. Checked 6 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.
• Develop and build management plane capabilities such as cluster lifecycle operations (compose, upgrade, scale, repair, delete), node management, and fleet-wide health and status reporting, from development through production • Architect and implement Kubernetes controllers, operators, and custom resource definitions (CRDs) in Go, with reliable, idempotent reconciliation • Drive automated cluster provisioning across bare metal, virtualized, and cloud environments, using Cluster API-style concepts and infrastructure providers • Lead technical build by writing build docs, running build reviews, and aligning partner teams across the software and hardware stack • Diagnose and improve the performance, reliability, and security of complex, asynchronous distributed systems, including debugging issues in production • Own unit, integration, and end-to-end test strategy and automate build, test, and release pipelines • Mentor engineers and improve code reviews • Keep documentation and runbooks clear and current • Prioritize various tasks while maintaining high code quality
• BS/MS in Computer Science or a related field, or equivalent experience • 8+ years of relevant software engineering experience, including building and operating production distributed systems • Strong proficiency in a systems language (Go, C++, Rust, or Java) • Solid data structures and algorithms fundamentals • Ability to become productive in Go quickly • Strong understanding of Kubernetes and container orchestration, including the API server, controllers, and reconciliation loops • Background in distributed system build and development, including consistency, availability, and failure handling at scale • Experience in automation using tools like Ansible and Terraform • Experience establishing and managing CI/CD systems • Solid Linux fundamentals • Understanding of performance, security, and reliability in distributed environments • Track record of leading technical builds and mentoring other engineers • Broad experience with Go, especially concurrency and testing, and with client-go / controller-runtime • Significant hands-on production experience operating Kubernetes at scale, including control plane or etcd scalability and availability • Experience with Cluster API or infrastructure providers on bare metal, vSphere, OpenStack, or AWS • Experience using GitLab, Jenkins, or other CI/CD platforms • Expert knowledge of Linux kernel and system internals, or experience with GPU/DPU-accelerated infrastructure • Open-source contributions to Kubernetes or related cloud-native projects
• Highly competitive salaries • Comprehensive benefits package • Equity • Benefits for you and your family
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