Senior Software Engineer, NeMo Core Platform

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Colorado, +4 more states – Remote

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💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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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

• Build NeMo Platform, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale • Design an Agentic Execution system for local, Kubernetes, Slurm, on-premises, and air-gapped environments • Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems • Build and maintain Core Platform APIs for running jobs, storing data, entities, secrets, RBAC, and authentication • Extend the plugin architecture so teams and external customers can install new capabilities • Build in the open in NVIDIA’s open-source repository • Ship production code using agentic coding tools • Improve reliability, observability, debuggability, and performance across the platform, SDKs, plugins, jobs, and developer workflows • Build strong unit, integration, end-to-end, Docker, and Kubernetes test coverage

🎯 Requirements

• BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field • 10+ years of professional software engineering experience building production systems • Comfort working in a very fast and ambiguous environment • Exceptional verbal and written communication skills • Ability to produce and review high-quality architectural RFCs • Strong system design skills • Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructure • Experience with distributed systems, cloud-native services, containers, Kubernetes, and job orchestration • Excellent Python engineering skills, including API design, typing, testing, debugging, performance analysis, and maintainable software design • Experience designing SDKs, libraries, plugins, CLIs, or other developer-facing interfaces • Ability to work independently, define technical scope, break down ambiguous problems, and drive work across team boundaries • Experience building, deploying, and iterating on production agentic AI systems at scale in Kubernetes • Experience with sophisticated plugin architectures • Ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency • Experience with enterprise AI systems requiring measurement, regression testing, observability, governance, and continuous improvement for production deployment

🏖️ Benefits

• Equity • Benefits

Apply Now

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