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Nvidia Robotics Jobs in Texas (NOW HIRING)

Hands-on experience with NVIDIA Isaac Sim, Isaac Lab, or a comparable physics simulation platform (e.g., Gazebo, MuJoCo, Webots). * Strong foundational understanding of rigid body dynamics, robotic ...

Hands-on experience with NVIDIA Isaac Sim, Isaac Lab, or a comparable physics simulation platform (e.g., Gazebo, MuJoCo, Webots). * Strong foundational understanding of rigid body dynamics, robotic ...

Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build ...

Senior Compiler Engineer - DL

Austin, TX · On-site

$121K - $160K/yr

Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Senior CPU Performance Architect

Austin, TX · On-site

$165K/yr

... robotics and autonomous vehicles to healthcare and climate research.With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the ...

... robotics and autonomous vehicles to healthcare and climate research.With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the ...

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Nvidia Robotics information

See Texas salary details

$78.3K

$89.4K

$108.5K

How much do nvidia robotics jobs pay per year?

As of Jun 17, 2026, the average yearly pay for nvidia robotics in Texas is $89,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $95,000.00 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.

What are the most commonly searched types of Nvidia Robotics jobs in Texas? The most popular types of Nvidia Robotics jobs in Texas are:
What cities in Texas are hiring for Nvidia Robotics jobs? Cities in Texas with the most Nvidia Robotics job openings:
Infographic showing various Nvidia Robotics job openings in Texas as of June 2026, with employment types broken down into 2% As Needed, 64% Full Time, 20% Part Time, 2% Temporary, 10% Contract, and 2% Nights. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $89,438 per year, or $43 per hour.
Robotics Simulation Engineer II

Robotics Simulation Engineer II

ICON

Austin, TX

Other

Posted 18 days ago


Job description

ICON is looking for a Robotics Simulation Engineer to join our Software team. As a Robotics Simulation Engineer, you will build and maintain high-fidelity simulation environments that accelerate the development, validation, and certification of ICON's robotic systems. You will be responsible for developing physics-accurate models of ICON's robotic platforms, bridging simulation and hardware to support a "test-as-you-fly" development paradigm, and contributing to shared kinematics and dynamics toolkits used across all ICON programs. This is a full-time, onsite role is based at ICON's Austin, TX headquarters and will report to the Director of Robotics.

RESPONSIBILITIES

  • Build and maintain high-fidelity simulation environments for ICON's robotic systems.
  • Develop and tune physics-accurate models of ICON's robotic platforms - including kinematics, dynamics, actuator behavior, and material interaction - validated against physical hardware test data.
  • Own the sim-to-real gap: systematically measure and reduce discrepancies between simulation predictions and physical system behavior.
  • Contribute to and maintain shared kinematics and dynamics libraries that are reused across ICON's robotic programs.
  • Integrate simulation environments into CI/CD pipelines to enable automated regression testing of motion planning, control, and safety-critical software components.
  • Collaborate with controls, perception, and mechatronics engineers to ensure simulated sensor models and environmental conditions are sufficient for algorithm validation.
  • Participate in architecture decisions for the simulation layer and its interfaces to the broader software stack.
  • Participate in design and code reviews to maintain consistency and high-quality output.

MINIMUM QUALIFICATIONS

  • Master's degree or higher in Robotics, Mechanical Engineering, Aerospace Engineering, or a related field.
  • 3+ years of professional experience in robotic simulation, dynamics modeling, or related robotics software development.
  • Hands-on experience with NVIDIA Isaac Sim, Isaac Lab, or a comparable physics simulation platform (e.g., Gazebo, MuJoCo, Webots).
  • Strong foundational understanding of rigid body dynamics, robotic arm kinematics (forward and inverse), and multi-body simulation.
  • Proficiency in modern C++ (17 or newer) and Python within a professional robotics development environment.
  • Experience integrating simulation environments into automated test and CI/CD workflows.
  • Familiarity with robotics frameworks such as ROS 2 and their interaction with simulation backends.

PREFERRED SKILLS AND EXPERIENCE

  • Experience developing and tuning robot models and environments in physics-based simulators.
  • Familiarity with physics-informed modeling, including actuator dynamics, joint compliance, and contact/friction modeling.
  • Experience with sim-to-real transfer techniques and systematic approaches to quantifying and reducing the sim-to-real gap.
  • Strong analytical and problem-solving mindset; comfortable making data-driven decisions about model fidelity tradeoffs.
  • Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of performance.