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
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations sur la rémunération sont exactes à la date de publication. Cognizant se réserve le droit de modifier ces informations à tout moment, conformément aux lois applicables.
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