
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.
🕒 August 7
🏄 California – Remote
💵 $152k - $241.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 5%
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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.
• Introduce innovative features and integrations on the Unified Access Management Platform. • Collaborate with diverse service teams to deliver critical organizational objectives. • Design, code, and roll out features to production end-to-end. • Ensure integration and adoption of UAM with other NVIDIA cloud services. • Participate in on-call support schedules and provide after-hours service support.
• BS or MS in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience. • 5+ years of experience in deep learning, machine learning, computer vision, or applied AI. • Experience with cloud services at scale, including millions of transactions, low latency, and high availability. • Expert-level knowledge of AWS Cloud, Kubernetes (k8s), and the GitOps model. • Understanding of authorization strategies, including ACL, RBAC, and ABAC. • Ability to mentor others, share knowledge, and contribute to a positive team environment. • General understanding of CNCF projects. • Experience with multiple IaaS cloud platforms, including AWS, GCP, Azure, and OCI. • Experience building function-as-a-service cloud services such as AWS Lambda, Google Cloud Functions, or Azure Functions. • Software development experience with AI tools such as Codex and Claude.
• Competitive salary package • Equity • Benefits
Apply Now🕒 August 7
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