Senior Software Engineer, Agentic Systems

🕒 Ontem

🏄 California, Colorado, +3 estados a mais – Remoto

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $184.000 - $356.500 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🤖 Inteligência Artificial

🎮 Jogos

Artificial Intelligence • Gaming • Automotive

A NVIDIA é uma empresa de tecnologia líder, especializada em computação acelerada e inteligência artificial. A companhia é pioneira em avanços em unidades de processamento gráfico (GPUs), computação em nuvem, data centers e realidade virtual, com foco nos setores de games, automotivo, saúde e robótica. As inovações da empresa, como o NVIDIA Omniverse, transformam processos digitais tradicionais ao viabilizar simulações de alta fidelidade e tarefas de renderização. Suas aplicações abrangem diversos setores, desde veículos autônomos com o NVIDIA DRIVE até soluções de saúde com o NVIDIA Clara, além de análises e fluxos de trabalho impulsionados por IA.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• equity • benefits