Senior Software Engineer, DGX Cloud Orchestration

🕒 6 days ago

🏄 California – Remote

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💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Logo of NVIDIA

NVIDIA

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.

📋 Description

• 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, Prometheus, OpenTelemetry, and Grafana • Optimize cloud operations reliability and efficiency through automated workflows and telemetry systems • Lead and ship impactful technical projects with quality and scalability

🎯 Requirements

• 8+ years of industry experience • Bachelor's degree or equivalent experience; Master's degree preferred • Expertise designing, building, and operating services in high-reliability environments • Proficiency in Go, Java, or Python • Strong understanding of AWS, GCP, Azure, Docker, and Kubernetes • Experience with high-scale distributed systems, APIs, and data pipelines • Strong communication and collaboration skills • Experience designing workflow orchestration systems for large-scale infrastructure • Experience reducing operational inefficiencies through automation and integration • Strong debugging and problem-solving skills in distributed environments • Familiarity with NVIDIA AI/ML software stack, including CUDA, cuDNN, and containerization

🏖️ Benefits

• Equity • Benefits

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