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Nvidia Robotics Jobs in Dallas, TX (NOW HIRING)

Grid Dynamics

Senior Architect

Dallas, TX · On-site

Develop relationships with key technology partners such as AWS, Azure, GPC, and NVIDIA by creating licensable artifacts. Requirements: * Strong experience in creating perception, autonomy, or robotic ...

Sincera Technologies, Inc.

AI/ML Engineer

Dallas, TX · On-site

Experience with robotics simulation, reinforcement learning, computer vision , or autonomous systems is highly preferred. * Familiarity with the NVIDIA GPU ecosystem and AI acceleration technologies.

Caterpillar

Visualization Engineer

Irving, TX · On-site

$128K - $208K/yr

The engineer will leverage NVIDIA Omniverse, modern C++/Python, and game engine principles to integrate robotic behaviors, autonomy systems, and sensor data into immersive visualization platforms.

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Nvidia Robotics information

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$83.1K

$95K

$115.2K

How much do nvidia robotics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for nvidia robotics in Dallas, TX is $94,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $100,900.00 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 Dallas, TX? The most popular types of Nvidia Robotics jobs in Dallas, TX are:
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Nvidia Robotics jobs near you
Infographic showing various Nvidia Robotics job openings in Dallas, TX as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $94,966 per year, or $45.7 per hour.

NVIDIA / Digital Twin / Simulation Integration Engineer

Engineering Square

Dallas, TX • On-site

Other

Posted 7 days ago

Job description

NVIDIA / Digital Twin / Simulation Integration Engineer
Location: Dallas, TX
 
Role Summary
We are seeking a Simulation Integration Engineer with experience in digital twin, simulation platforms, and NVIDIA ecosystem technologies. This role will help decompose simulation platform capabilities into service-oriented components that can integrate with autonomy services and UI workflows.
Key Responsibilities
· Work with internal teams and NVIDIA counterparts to understand simulation platform capabilities.
· Help decompose simulation capabilities into reusable service components.
· Define inputs, outputs, data contracts, and artifact exchange patterns for simulation workflows.
· Support integration with digital twin assets, OpenUSD/USD assets, terrain/site data, and simulation outputs.
· Build or support adapter services that connect Helios autonomy services to NVIDIA / Physical AI simulation capabilities.
· Validate simulation outputs for customer-facing operational workflows.
· Document platform boundaries between Physical AI simulation and Helios operational simulation.
· Support proof-of-concept and MVP integration demos.
Required Skills
· 5+ years of experience in simulation, digital twin, robotics, 3D platforms, or platform integration.
· Experience with NVIDIA Omniverse, Isaac Sim, OpenUSD/USD, or comparable simulation/digital twin platforms.
· Understanding of simulation workflows, scenario definition, asset exchange, and simulation outputs.
· Experience with Python and API-based integration.
· Experience with containerized workloads and cloud environments.
· Ability to work with complex technical ambiguity and define practical integration paths.
Preferred Skills
· Experience with NVIDIA Omniverse Kit, Nucleus, Isaac Sim, or Isaac ROS.
· Experience with robotics simulation or autonomous systems.
· Experience with geospatial/terrain data and site modeling.
· Experience with synthetic data generation or AI model validation.
· Experience integrating simulation outputs into customer-facing applications.
· Experience with AWS, Kubernetes, Docker, and CI/CD.
Deliverables
· NVIDIA / Physical AI capability decomposition document.
· Simulation input/output contract definitions.
· Digital twin / USD asset exchange approach.
· Integration adapter design and implementation support.
· MVP simulation workflow demonstration.
 
 
 
 
 

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