
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%
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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.
• Design and develop APIs to orchestrate and integrate operational workflows • Build state management and workflow automation systems for infrastructure lifecycle processes • Collaborate across teams to codify business processes into scalable, self-measuring systems • Develop extensible, schema-driven platforms to reduce manual toil and ensure operational consistency • Drive integrations with Kubernetes and observability systems such as Prometheus, OpenTelemetry, and Grafana • Optimize cloud operations reliability and efficiency through automated workflows and telemetry systems • Lead and ship impactful technical projects, ensuring quality and scalability
• 8+ years of industry experience • Bachelor’s degree or equivalent experience • Expertise in designing, building, and operating services in a high reliability environment • Proficiency in Go, Java, or Python • Strong understanding of cloud infrastructure (AWS, GCP, Azure) • Experience with Docker and Kubernetes • Experience with high-scale distributed systems, including architectural patterns for APIs and data pipelines • Strong communication and collaboration skills • Passion for automating manual processes and driving system efficiency • Master’s degree preferred • Track record of designing workflow orchestration systems for large-scale infrastructure • Proven experience reducing operational inefficiencies through automation and integration • Strong debugging and problem-solving skills in distributed environments • Prior experience or strong familiarity with the operational aspects of the NVIDIA AI/ML software stack, including CUDA, cuDNN, and containerization
• Equity • Benefits
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