Senior Software Engineer, NeMo Helix Core Platform

🕒 vor 1 Monat

🏄 California, Colorado, +4 weitere Bundesländer – Remote

infoinfo

💵 $184.000 - $356.500 / Jahr

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of NVIDIA

NVIDIA

10.000+ Mitarbeiter

Gegründet 1993

🏥 Gesundheitswesen

🏭 Fertigung

🤖 Künstliche Intelligenz

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA ist ein führendes Technologieunternehmen mit Spezialisierung auf beschleunigtes Computing und Künstliche Intelligenz (AI). NVIDIA treibt Fortschritte bei Grafikprozessoren (GPUs), Cloud Computing, Rechenzentren und Virtual Reality voran und fokussiert dabei Branchen wie Gaming, Automotive, Gesundheitswesen und Robotik. Innovationen des Unternehmens wie NVIDIA Omniverse transformieren traditionelle digitale Prozesse, indem sie hochrealistische Simulationen und Rendering-Aufgaben ermöglichen. Die Anwendungen erstrecken sich über zahlreiche Branchen – von autonomen Fahrzeugen mit NVIDIA DRIVE über Gesundheitslösungen mit NVIDIA Clara bis hin zu AI-gestützten Analysen und Workflows.

Beschreibung

• Build NeMo Helix, 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 jobs, data, entities, secrets, RBAC, and authentication • Extend the plugin architecture for teams and external customers to install new capabilities • Build in the open in the open-source repository • Use agentic coding tools to ship code rapidly • Improve reliability, observability, debuggability, and performance across NeMo Helix, SDKs, plugins, jobs, and developer workflows • Build test coverage across unit, integration, end-to-end, Docker, and Kubernetes workflows

🎯 Anforderungen

• 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

🏖️ Vorteile

• Equity • Benefits

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