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Nvidia Robotics Jobs (NOW HIRING)

Prime Robotics

Senior Robotics Engineer

Denver, CO

$150K/yr

Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics workloads. * Experience with Java/Spring Boot programming and development. * Background in warehouse ...

Prime Robotics

Senior Robotics Engineer

Denver, CO · On-site

$150K/yr

Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics workloads. * Experience with Java/Spring Boot programming and development. * Background in warehouse ...

Prime Robotics

Senior Robotics Engineer

Denver, CO · On-site

$150K/yr

Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics workloads. * Experience with Java/Spring Boot programming and development. * Background in warehouse ...

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Nvidia Robotics information

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How much do nvidia robotics jobs pay per year?

As of Jun 28, 2026, the average yearly pay for nvidia robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nvidia Robotics position, and why are they important?

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.

Which robotics company partner with NVIDIA?

NVIDIA Robotics partners with several leading robotics companies, including Boston Dynamics, Fetch Robotics, and Omron. These collaborations often involve integrating NVIDIA's AI and computing platforms to enhance robot perception, navigation, and automation capabilities.

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 hire remote workers?

NVIDIA offers remote work opportunities for certain roles, including positions in robotics and engineering, depending on the team and project requirements. Remote work policies vary by department and location, and candidates should review specific job postings for remote options and eligibility criteria.

Is it hard to get hired at NVIDIA?

Getting hired for a robotics-related role at NVIDIA can be competitive, as the company seeks candidates with strong technical skills, relevant experience, and often advanced degrees in engineering or computer science. The hiring process typically involves multiple interviews, technical assessments, and a review of project work or certifications. Success depends on demonstrating expertise in areas like AI, machine learning, or robotics, and aligning with NVIDIA's innovation-focused environment.

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. Senior engineers with specialized skills in AI, machine learning, and robotics may earn higher salaries, often supplemented with bonuses and stock options.

What are some typical responsibilities for a robotics engineer working at Nvidia, and how do they collaborate with other teams?

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.

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Nvidia Robotics jobs near you
Senior Developer Relations Manager, Robotics Physics and Simulation

Senior Developer Relations Manager, Robotics Physics and Simulation

NVIDIA

Santa Clara, CA • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
NVIDIA is a leader in AI, robotics, and accelerated computing, seeking a Developer Relations Manager for their Robotics ecosystem team. This role involves driving the adoption of the Newton framework and leading developers in utilizing NVIDIA Warp for next-generation GPU-accelerated solvers in robotics.
Responsibilities:
• 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).
Qualifications:
Required:
• 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).
• 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).
Preferred:
• 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.
• Experience 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.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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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

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