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Robot Simulation Jobs in Dallas, TX (NOW HIRING)

10059

Director Simulation Center Ops

Dallas, TX

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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Robot Simulation information

See Dallas, TX salary details

$38.6K

$122.1K

$188.4K

How much do robot simulation jobs pay per year?

As of Jul 26, 2026, the average yearly pay for robot simulation in Dallas, TX is $122,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $144,900.00 per year, depending on experience, location, and employer.

What careers can you get with robotics?

Robotics professionals can pursue careers such as robotics engineer, automation engineer, control systems engineer, research scientist, or robotics technician. These roles often require skills in programming, mechanical design, and systems integration, and may involve working in manufacturing, research labs, or technology companies.

Is robotics a high paying job?

Robotics jobs, including roles like robot simulation engineers, tend to offer competitive salaries due to the specialized skills required in programming, mechanical design, and systems integration. Salaries vary based on experience, education, and location, but many positions in robotics are considered well-paying within the engineering and technology sectors.

What jobs will humanoid robots do?

Humanoid robots are increasingly used in roles such as customer service, healthcare assistance, and hospitality, where they perform tasks like greeting, information provision, and basic caregiving. These jobs often require programming skills, knowledge of robotics, and familiarity with human-robot interaction environments.

Who are the big 4 in robotics?

The 'Big 4' in robotics typically refers to Boston Dynamics, ABB, Fanuc, and KUKA, which are leading companies known for their advanced robotic systems and automation solutions. These companies often serve industries such as manufacturing, logistics, and research, and professionals in robot simulation may work on modeling and programming their robots using specialized software and programming languages.

What is the difference between Robot Simulation vs Robot Programmer?

AspectRobot SimulationRobot Programmer
Required CredentialsEngineering degree, CAD/Simulation software skillsEngineering or computer science degree, programming skills
Work EnvironmentDesign labs, simulation software environmentsManufacturing floors, robotics labs, programming environments
Industry UsageTesting, designing, and validating robot behaviors virtuallyWriting, testing, and deploying robot control code
Common Search IntentUnderstanding virtual robot testing and designLearning robot programming and control development

Robot Simulation focuses on creating virtual models and testing robot behaviors using simulation software, while Robot Programmer involves writing and implementing code to control physical robots. Both roles require technical skills but differ in their focus—virtual testing versus real-world programming.

What are popular job titles related to Robot Simulation jobs in Dallas, TX? For Robot Simulation jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Robot Simulation jobs in Dallas, TX look for? The top searched job categories for Robot Simulation jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Robot Simulation jobs? Cities near Dallas, TX with the most Robot Simulation job openings:
Robot Simulation jobs near you
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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