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Senior Backend Integration Engineer AWS, Python and Digital Twin NVIDIA Omniverse
Senior Backend/Integration Engineer
Education Requirements: Bachelor's degree in Computer Science, Software Engineering, Robotics, or related field
Required Skills for the Senior Backend/Integration Engineer:
- Backend Microservices & API Development
- Cloud-Native Integration & Distributed Systems
- Event-Driven Architecture, Observability & Integration Testing
- API integration
- AI coding platform
- Strong problem-solving and analytical skills
- Ability to work effectively in agile scrum teams
- Strong verbal and written communication skills
- Collaboration across distributed and cross-functional teams
- Ability to work in ambiguous and evolving environments
- Ownership mindset with accountability for delivery
- Strong technical documentation skills
Preferred Skills:
- Python
- React/Angular
- NVIDIA Omniverse, Isaac Sim, or equivalent simulation platforms
- OpenUSD/USD experience
- Digital Twin platforms and workflows
- Robotics, Autonomy, or Physical AI integration
- Object storage and artifact management
- Experience mentoring junior engineers
- Technical leadership and design review experience
- Stakeholder management and vendor collaboration
- Continuous improvement mindset
- Experience working with global teams
Senior Backend/Integration Engineer Overview:
Seeking a Senior Backend / Integration Engineer to build platform integrations across NVIDIA, simulation systems, and digital twin environments. Primary focus is backend microservices and API integration.
Responsibilities:
- Build backend microservice APIs (Python preferred) for simulation, NVIDIA, and Physical AI integrations
- Design REST, gRPC, and event-driven APIs for asset exchange and simulation workflows
- Develop integration adapters using AI coding Platforms & Spec Driven Development between cloud services and simulation / digital twin platforms
- Support simulation and digital twin asset exchange (OpenUSD/USD or similar formats)
- Implement asynchronous workflows (job orchestration, retries, idempotency, observability)
- Manage large artifact storage and lifecycle (metadata, versioning, retention, traceability)
- Define API, event, and data contracts for simulation and digital twin integrations
- Collaborate with NVIDIA, vendor partners, and internal platform teams on integration design and delivery
- Develop and maintain contract testing, integration testing, and automation frameworks
- Contribute to cloud-native architecture, CI/CD, monitoring, and operational readiness
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