NVIDIA / Digital Twin / Simulation Integration Engineer

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 CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.