
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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.
🔥 0 minutes ago
🏄 California, Colorado, +3 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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.
• 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
• 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.
• equity • benefits
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