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Robotics Simulation Jobs in Dallas, TX (NOW HIRING)

UT Southwestern's Simulation Center includes of 49,000 square feet of Virtual Operating Rooms, Emergency Rooms, Intensive Care Units, Obstetrics/Gynecology suite, Robotic Surgery, 20 Standardized ...

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Robotics Simulation information

See Dallas, TX salary details

$10.9K

$66.9K

$120.2K

How much do robotics simulation jobs pay per year?

As of Jul 26, 2026, the average yearly pay for robotics simulation in Dallas, TX is $66,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $78,600.00 per year, depending on experience, location, and employer.

What is robotics simulation?

Robotics simulation is the use of computer software to model and test the behavior of robots in a virtual environment. This allows engineers and researchers to design, program, and optimize robots without needing physical prototypes, saving time and resources. Simulations can replicate real-world conditions, enabling the analysis of robot movement, sensor data, and task performance before implementation. Robotics simulation is commonly used in developing autonomous systems, industrial automation, and research applications.

What are the key skills and qualifications needed to thrive as a Robotics Simulation Engineer, and why are they important?

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by a relevant degree such as electrical engineering or mechanical engineering. Familiarity with simulation tools like Gazebo, ROS (Robot Operating System), MATLAB/Simulink, and programming languages such as Python or C++ is essential. Problem-solving, attention to detail, and effective teamwork are key soft skills that help in designing and refining complex simulation models. These abilities are crucial for creating accurate simulations that accelerate development, testing, and deployment of robotic systems.

What is the difference between Robotics Simulation vs Robotics Software Engineer?

AspectRobotics SimulationRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related; programming skills
Work EnvironmentResearch labs, simulation platforms, development teamsSoftware development teams, robotics companies, tech firms
Industry UsageTesting algorithms, virtual prototyping, system validationDeveloping robot control software, algorithms, and integration
Common Search/ComparisonYesYes

Robotics Simulation focuses on creating virtual environments to test and validate robotic systems, while Robotics Software Engineers develop the actual software that controls robots. Both roles often collaborate but serve different stages of robotics development, with simulation emphasizing testing and validation, and software engineering focusing on implementation and coding.

What are some typical challenges faced when working in robotics simulation, and how can they be addressed?

Professionals in robotics simulation often encounter challenges such as accurately modeling real-world physics, ensuring simulation fidelity, and integrating with hardware or software systems. Addressing these requires a strong understanding of both robotics and simulation tools, as well as effective collaboration with engineers, software developers, and testers. Staying updated with advancements in simulation platforms and maintaining clear documentation are key strategies to overcome these challenges and ensure the simulations provide meaningful insights for development and testing.
What cities near Dallas, TX are hiring for Robotics Simulation jobs? Cities near Dallas, TX with the most Robotics Simulation job openings:
NVIDIA / Digital Twin / Simulation Integration Engineer

NVIDIA / Digital Twin / Simulation Integration Engineer

Cognizant Technology Solutions

Dallas, TX • On-site

$104K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 73 rated business consultants


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.

About Cognizant's IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
  • Applications will be accepted until July 31st , 2026
  • LI#- #LI-SC6

Compensation & Benefits
$104,000 - $150,000 per year
  • Bonus + Comprehensive Benefits

Additional Information
  • Onsite role
  • ⚠️ Visa sponsorship is not available now or in the future. Candidates requiring sponsorship will not be considered.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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