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Senior Robotics Software Engineer

Job in Santa Clara, Santa Clara County, California, 95052, USA
Listing for: Nvidia
Full Time position
Listed on 2026-10-21
Job specializations:
  • Software Development
    Robotics, AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 184000 USD Yearly USD 184000.00 YEAR
Job Description & How to Apply Below
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.

We’re looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities.

What you will be doing:

Lead the forefront of Physical AI progress in both simulated and real humanoid robots by building the humanoid reference platform that features NVIDIA's robotics technologies.

Build end-to-end workflows to develop, evaluate, and deploy increasingly autonomous and interactive robot capabilities.

Extend our 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.

What we need to see:

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, and 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. We value an understanding of 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.

Ways To Stand Out From The Crowd:

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.

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 October 20, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Summary

Location:

US, CA, Santa Clara Type:
Full time
Position Requirements
10+ Years work experience
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