Senior Software Engineer - Omniverse

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Software Engineer to help build the next generation of AI‑driven developer and robotics workflows at NVIDIA. In this role, you will contribute to the design and implementation of integration solutions across cloud, AI coding agents, and robotics platforms, working closely with expert engineers. If you are excited by modern AI, robotics systems, and proven engineering practices—and enjoy learning, exploratory environments—this role is a phenomenal fit. We are the team that connects the dots across NVIDIA’s software stack, from cloud services and AI agents to robotics platforms. We design and build the tooling and integrations that power modern, AI‑assisted development workflows and robotic applications. If you like working at the intersection of AI, cloud infrastructure, and real‑world systems, and enjoy turning complex problems into simple, robust solutions, you’ll feel at home here.

What You'll Be Doing

• Software Development: Implement features and services across the stack (back‑end, cloud, tooling), writing clean, maintainable code and contributing to design discussions.
• AI Coding Agents & Developer Workflows: Help build and iterate on AI‑assisted development workflows (e.g., code generation, refactoring, automation in CI/CD), and experiment with powerful coding agents in real engineering use cases.
• Cloud‑Native Services: Develop and operate services on Kubernetes using Helm and major cloud provider APIs (e.g., AWS, Azure, GCP), including deployment, monitoring, and troubleshooting.
• Robotics & Simulation (Preferred): Collaborate with robotics and simulation teams to integrate services and tools into robotics workflows; learn and, where applicable, extend platforms such as Isaac or ROS.
• Engineering Excellence: Follow good engineering practices around testing, code review, documentation, observability, and reliability, and contribute to improving them over time.
• Collaboration & Learning: Work closely with teammates across cloud, AI, and robotics, ask questions, share knowledge, and continuously expand your skills.

What We Need To See

• Bachelor’s in Computer Science, Engineering, or a related field (or equivalent experience). Ideally building or integrating distributed or cloud‑based systems.
• 8+ years of experience with programming in Python and/or C++.
• Understanding of core software design principles and APIs.
• Exposure to cloud‑native development (containers, Kubernetes, Helm, or similar technologies).
• AI Agents & Developer Tools: Demonstrated interest in AI coding agents, LLM‑powered tools, or modern AI‑assisted development workflows (personal projects, coursework, or professional experience).
• Robotics (Preferred): Interest in robotics, simulation, or autonomous systems; any hands‑on experience with robotics platforms, middleware (e.g., ROS), or NVIDIA robotics stacks is a plus.
• Engineering Practices: Familiarity with unit and integration testing, code reviews, CI/CD, and basic monitoring/observability concepts.
• Collaboration and communication skills; comfortable working with multi-functional partners.

Ways To Stand Out From The Crowd

• Practical experience building or integrating robotics systems (on‑device software, simulation, perception, control, or fleet tools).
• Experience designing or deploying AI coding agents or LLM‑based developer tools (e.g., plugins, internal tools, research prototypes).
• Contributions to open‑source projects, technical blogs, talks, or coursework in relevant domains (AI, cloud, robotics, developer tooling).
• Experience in high‑performance computing, such as CUDA programming, GPU acceleration, or optimizing large‑scale workloads on NVIDIA platforms.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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