Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Agentic Systems @ 4
Robotics @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As a Robotics Software Engineer on the Isaac Applications Team, you will bring together the software and hardware that enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents. These workflows connect data, simulation, and real-world deployment to continuously expand and improve robot capabilities.
The role requires strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You will work across component boundaries to solve problems and deliver new robot capabilities.
Responsibilities
- Lead the forefront of Physical AI progress in simulated and real humanoid robots by building the humanoid reference platform featuring NVIDIA's robotics technologies.
- Build end-to-end workflows to develop, evaluate, and deploy increasingly autonomous and interactive robot capabilities.
- Extend the platform to new robot embodiments and demonstrate its adaptability through hands-on integration and validation.
- Address real-world compute, latency, and bandwidth constraints on physical hardware.
- Collaborate across teams in Shanghai, America, and Europe to connect capabilities and deliver reliable robotic systems.
Requirements
- Master's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience.
- 8+ years of relevant industry experience working on robotics software.
- Hands-on experience integrating, deploying, and testing software on physical robots, with confidence working directly with hardware when needed.
- Experience deploying and evaluating learned policies to control physical robots.
- Broad working knowledge of robotics software, hardware, AI, and agentic systems, including how these components interact within a complete system.
- Strong problem-solving skills, including tracing issues across software and hardware boundaries.
- Ability to work independently through ambiguous technical challenges.
- Interest in designing robotics interfaces for agent-driven operation, with the ability to learn and evaluate new approaches.
Preferred Qualifications
- Experience integrating humanoid robots or mobile manipulators, from initial bring-up through reliable demonstrations of robot capabilities.
- Experience diagnosing and resolving system-level challenges across robotics software and hardware.
- Experience building end-to-end robotics workflows where AI agents perform substantial portions of the work and guide engineers through data collection, training, evaluation, and deployment.
Compensation and Benefits
- Base salary range: $184,000–$287,500 for Level 4.
- Base salary range: $224,000–$356,500 for Level 5.
- Base salary is determined based on location, experience, and the pay of employees in similar positions.
- Eligible for equity and benefits.
- Applications will be accepted at least until October 20, 2026.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
- NVIDIA uses AI tools in its recruiting processes.
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