Senior Software Engineer, Agentic Systems

🕒 il y a 3 jours

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of NVIDIA

NVIDIA

10 000+ employés

Fondée en 1993

🤖 Intelligence artificielle

🎮 Jeux vidéo

Artificial Intelligence • Gaming • Automotive

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 and implement Python-first APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents across multiple runtimes and product surfaces • Build reusable systems for observing behavior, measuring progress, detecting regressions, and turning runtime evidence into product decisions • Build systems for ingesting, normalizing, validating, and analyzing agent execution data and evaluation datasets • Partner with research, product, platform, and infrastructure teams to integrate agentic capabilities broadly across NVIDIA agent runtimes and developer workflows • Help turn emerging agent development and improvement techniques into reliable, reusable product capabilities • Improve reliability, observability, debuggability, and performance across NeMoStack services, SDKs, plugins, jobs, and developer workflows • Build strong test coverage across unit, integration, E2E, Docker, and Kubernetes workflows • Drive 'speed of light' engineering: fast iteration, high ownership, pragmatic decisions, and performance-minded implementation under production constraints • Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems

🎯 Exigences

• BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field • 5+ years of professional software engineering experience building production systems • 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 • Experience with distributed systems, cloud-native services, containers, Kubernetes, or job orchestration • Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructure • Experience with structured data modeling and validation systems such as Pydantic, typed schemas, event/trace models, or SDK-generated types • Ability to work independently, define technical scope, break down ambiguous problems, and drive work across team boundaries • Clear communication skills and a track record of collaborating with engineering, product, research, or customer-facing teams.

🏖️ Avantages

• equity • benefits

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🗣️🇺🇸🇬🇧 Anglais requis