Senior Software Engineer, NeMo Core Platform

🕒 il y a 7 jours

🇨🇦 Canada – Télétravail

💵 $170 000 - $275 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 1%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of NVIDIA

NVIDIA

10 000+ employés

Fondée en 1993

🏥 Santé

🏭 Fabrication

🤖 Intelligence artificielle

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

Description

• Design an Agentic Execution system flexible enough to work in 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 flexible plugin architecture for internal teams and external customers • Build in the open in NVIDIA's open-source repository • Ship production code using agentic coding tools • Improve reliability, observability, debuggability, and performance across NeMo Platform, SDKs, plugins, jobs, and developer workflows • Build strong test coverage across unit, integration, end-to-end, Docker, and Kubernetes workflows • Work in a product research environment with fast iteration, high ownership, pragmatic decisions, and performance-minded implementation

🎯 Exigences

• 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 • 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 • Preferred: experience building, deploying, and iterating on production agentic AI systems at scale in Kubernetes • Preferred: experience with sophisticated plugin architectures • Preferred: ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency • Preferred: experience with enterprise AI systems requiring measurement, regression testing, observability, governance, and continuous improvement

🏖️ Avantages

• Equity • Benefits

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