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Nvidia Robotics Jobs in California (NOW HIRING)

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Nvidia Robotics information

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$82.9K

$94.7K

$115K

How much do nvidia robotics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for nvidia robotics in California is $94,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $100,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed for a robotics position at Nvidia?

To excel in Nvidia Robotics, candidates typically need a strong background in robotics engineering, computer vision, machine learning, and software development, often supported by a relevant degree in computer science, engineering, or a related field. Experience with programming languages such as Python and C++, familiarity with ROS (Robot Operating System), and certifications in AI or robotics platforms are highly valued. Strong problem-solving abilities, teamwork, and adaptability help professionals address complex technical challenges and collaborate effectively. These skills are crucial for developing, optimizing, and deploying advanced robotic systems that meet Nvidia's innovative standards.

What is an Nvidia Robotics job?

An Nvidia Robotics job involves working on cutting-edge robotics technology, including AI-powered perception, planning, and control systems. Engineers in this role develop software and hardware solutions for autonomous machines, leveraging NVIDIA's GPUs, AI frameworks, and simulation tools. These jobs often involve contributing to platforms like Isaac Sim and Jetson to accelerate robotics research and deployment across industries such as manufacturing, logistics, and healthcare.

Does Nvidia Robotics have a robotics department?

Nvidia Robotics is a division within Nvidia focused on developing robotics solutions, including AI, sensors, and autonomous systems. The division employs engineers and researchers specializing in robotics, computer vision, and machine learning to advance robotics technology. Job seekers interested in Nvidia Robotics should have skills in AI, programming, and robotics systems integration.

How much do Nvidia Robotics engineers make?

Nvidia Robotics engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Salaries for robotics engineers at Nvidia can vary based on skills in AI, machine learning, and programming with tools like CUDA and ROS.

What are the typical responsibilities of a robotics engineer at Nvidia?

Robotics engineers at Nvidia are often involved in designing, developing, and testing advanced robotics solutions that leverage the company's cutting-edge AI and GPU technologies. On a daily basis, they may work on software algorithms, integrate sensor and perception systems, and optimize robotic hardware performance. Collaboration is a key part of the role, as engineers frequently interact with colleagues in software development, research, hardware engineering, and product management to bring new robotics platforms to market. Team members also participate in regular cross-functional meetings to align project goals and ensure seamless integration of robotics technologies across products.

What are the most commonly searched types of Nvidia Robotics jobs in California? The most popular types of Nvidia Robotics jobs in California are:
What cities in California are hiring for Nvidia Robotics jobs? Cities in California with the most Nvidia Robotics job openings:
Infographic showing various Nvidia Robotics job openings in California as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $94,742 per year, or $45.5 per hour.

Senior Developer Relations Manager, Robotics Physics and Simulation

Nvidia

Santa Clara, CA • On-site

Full-time

Re-posted 23 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

At NVIDIA, we're pushing the boundaries of AI, robotics, and accelerated computing to transform industries and improve lives. We're looking for a Developer Relations Manager to work in our Robotics ecosystem team, where you will be the primary technical liaison link between NVIDIA's internal product/engineering teams and the global robotics community. Your mission is to drive the adoption and extension of the Newton framework and lead developers in applying NVIDIA Warp to build next-generation, GPU-accelerated solvers for robotics. You will help the world's leading robotics authorities address the "sim-to-real" gap using differentiable physics and massively parallel simulation.

Whatyou'llbe doing:

  • Drive global adoption of the Newton framework. Partner with industry leaders, academic researchers, and major ISVs to integrate specific solvers (FEM, MPM, granular dynamics) into the Newton ecosystem.

  • Lead technical advisory for NVIDIA Warp, helping developers write high-performance GPU kernels for physics and geometry processing across real-time and multi-platform systems.

  • Co-design reference architectures using Newton's multi-physics capabilities (rigid body, soft body, and cloth coupling).

  • Represent the robotics community to internal teams to influence the roadmaps for Newton, Warp, and Isaac Lab based on real-world requirements.

  • Produce "Warp-native" solver templates, white papers on differentiable simulation, and lead sessions at major conferences (GTC, ICRA, CoRL).

What We Need To See:

  • 8+ years in tech and hands-on in computational physics, geometry processing, numerical simulation, physics engine development, or robotics software.

  • Master's or PhD in Computer Science, Physics, Mechanical Engineering, or a related field with a focus on simulation (or equivalent experience).

  • Physics & Robotics Foundations: Deep understanding of physics solvers (XPBD, VBD, Semi-Implicit Euler) and robotics math (kinematics, dynamics, contact modeling).

  • Expertise in Multibody Dynamics (Featherstone's algorithms, RNEA, Spatial Vector Algebra).

  • Strong grasp of Inverse Kinematics (IK), trajectory optimization, and motion planners (OMPL).

  • Practical experience modeling sensor noise, actuator dynamics (latency, friction, hysteresis), and contact mechanics to bridge the "Reality Gap."

  • Proven GPGPU programming skills (CUDA kernels, thread synchronization, memory hierarchies).

  • Ability to translate sophisticated numerical methods into value propositions for both PhD or equivalent experience researchers and C-suite executives.

  • Track record of contributions to major projects (e.g., MuJoCo, PyBullet, Drake).

Ways To Stand Out from the crowd:

  • An established network within the humanoid robotics or industrial automation sectors.

  • Experience simulating high-DoF systems and complex contact-rich interactions.

  • Confirmed use of differentiable simulation for System Identification (SysID) or design optimization.

  • in kernel programming (Warp, Numba, Triton) or tensor programming (JAX, PyTorch, TensorFlow).

  • Authoring or implementing novel solvers for fluid-structure interaction or non-smooth dynamics.

Offering attractive compensation packages and extensive employee benefits, NVIDIA is widely regarded as one of the most sought-after employers in the technology industry. We have some of the most forward-thinking and hardworking people in the world working for us, and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous professional with a genuine passion for technology, we want to hear from you!

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 18, 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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About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993