Vehicle Digital Twin Systems Engineer II

Blue Origin; Denver (CO); On-site; USD 94,000 - 139,000; Full time

Benefits offered by this job

Stock options

Paid time off

Comprehensive benefits

Job summary

Blue Origin is seeking a Systems Engineer II focused on a Vehicle Digital Twin. You will build a connected, data-driven representation of the vehicle using NVIDIA Omniverse, integrating architecture, CAD, analysis models, test evidence, and operational data into a traceable digital thread.

The role combines systems engineering with software automation, model integration, and AI-assisted tooling, requiring collaboration across engineering teams and keeping outputs verifiable and under

Qualifications

• Bachelor’s degree in a technical discipline (Systems/Aerospace/Mechanical/Electrical/CS).
• 2+ years in systems engineering, digital engineering, or software integration.
• Hands-on with Cameo or Teamwork Cloud to develop or review system models.
• Experience with CAD tools (PTC Creo) and engineering geometry.

Responsibilities

• Develop and maintain Blue Origin Aerobrake Digital Twin in NVIDIA Omniverse.
• Build OpenUSD-based workflows for CAD geometry and metadata.
• Link system models to Digital Twin via APIs and data pipelines.
• Develop Python APIs and data connectors for engineering repositories.
• Support model-to-test correlation and document assumptions and uncertainties.

Skills

Systems engineering

Python programming

Cross-functional collaboration

Digital thread concepts

AI-assisted engineering

Education

Bachelor's degree in Systems/Aerospace/Mechanical/Electrical Engineering or Computer Science

Tools

Dassault Systèmes Cameo

Teamwork Cloud

PTC Creo

Python

OpenUSD / NVIDIA Omniverse

Job description

Blue Origin is seeking a Systems Engineer II focused on a Vehicle Digital Twin. You will build a connected, data-driven representation of the vehicle using NVIDIA Omniverse, integrating architecture, CAD, analysis models, test evidence, and operational data into a traceable digital thread.

The role combines systems engineering with software automation, model integration, and AI-assisted tooling, requiring collaboration across engineering teams and keeping outputs verifiable and under