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Nvidia Robotics Jobs in Texas (NOW HIRING)

Practical experience with sensors, actuators, and embedded systems (e.g., NVIDIA Jetson, Raspberry Pi, Arduino). * Proven ability to take robotic systems from prototype to deployment. Preferred ...

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 ...

Senior Compiler Engineer - DL

Austin, TX ยท 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 ...

Senior Deep Learning Compiler Engineer

Austin, TX ยท On-site

$103K - $142K/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 ...

Senior Deep Learning Performance Architect

Austin, TX ยท On-site

$165K/yr

NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as "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 Jul 15, 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.

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.

Is it hard to get hired at NVIDIA?

Getting hired for a robotics-related role at NVIDIA can be competitive due to the company's high standards and advanced technology focus. Candidates typically need strong technical skills, relevant experience, and a solid understanding of robotics, AI, or related fields. The hiring process often involves multiple interviews and technical assessments.

Which robotics company is NVIDIA working with?

NVIDIA collaborates with various robotics companies and research institutions to develop AI and autonomous systems. These partnerships often focus on integrating NVIDIA's hardware and software platforms, such as the Jetson AI edge computing modules, into robotics applications across industries like manufacturing, logistics, and healthcare.

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 frameworks tend to earn higher salaries, often supplemented with bonuses and stock options.

How much do NVIDIA robotics teleoperators make?

NVIDIA robotics teleoperators typically earn between $50,000 and $80,000 annually, depending on experience, location, and specific responsibilities. The role often requires technical skills in robotics, remote operation, and troubleshooting, with some positions offering additional compensation for overtime or specialized tasks.

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 job categories do people searching Nvidia Robotics jobs in Texas look for? The top searched job categories for 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 July 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 89% Full Time, 3% Part Time, 1% Contract, and 3% Nights. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $89,438 per year, or $43 per hour.