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Systems Engineer II Verified today

Blue Origin · 6 Locations · Space Systems · first seen 2026-09-03
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About the Role

As a Systems Engineer II focused on a Vehicle Digital Twin, you will develop a connected, data-driven representation of Blue Origin vehicles using NVIDIA Omniverse. You will connect system architecture, requirements, CAD geometry, analysis models, test evidence, and operational data into a single, traceable digital thread. This role combines systems engineering fundamentals with software automation, model integration, and advanced artificial intelligence tools.

You will own scoped integrations and work products, partnering with senior engineers and multidisciplinary teams across guidance, navigation, and control; structures; thermal; avionics; software; test; manufacturing; and mission operations.

Key Responsibilities

  • Develop and maintain Blue Origin Aerobrake Digital Twin capabilities in NVIDIA Omniverse, including data-driven 3D scenes, engineering metadata, behaviors, and reusable integration components.
  • Build and improve OpenUSD-based workflows that ingest and organize PTC Creo or other CAD geometry while preserving configuration, provenance, coordinate systems, and product-structure metadata.
  • Connect Dassault Systèmes Cameo and Teamwork Cloud system models to the Digital Twin, ensuring requirements, interfaces, functions, verification evidence, and design decisions remain traceable to authoritative sources.
  • Develop Python-based APIs, connectors, and data pipelines that link analysis, simulation, test, telemetry, and engineering repositories to the Digital Twin.
  • Support correlation of digital models with physical test data by defining acceptance criteria, investigating model-to-test differences, and documenting assumptions, limitations, and uncertainty.
  • Utilize advanced AI-assisted engineering and software-development tools such as Codex or Claude Code to accelerate integration, automation, and documentation, while independently verifying outputs and maintaining configuration control.
  • Apply systems engineering fundamentals to decompose needs, define interfaces and data contracts, manage technical risks, and plan verification and validation for Digital Twin capabilities.
  • Participate in agile planning, demonstrations, technical reviews, and retrospectives; communicate progress, tradeoffs, and blockers clearly to all stakeholders.

Minimum Qualifications

  • Bachelor's degree in Systems Engineering, Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or a related technical discipline.
  • 2 or more years of relevant professional experience in systems engineering, digital engineering, digital twins, simulation, or software integration. An advanced degree may be considered in lieu of experience.
  • Hands-on experience with Dassault Systèmes Cameo or MagicDraw and Teamwork Cloud to develop, manage, or review system models in a collaborative environment.
  • Experience using PTC Creo or another production CAD tool and working with engineering geometry, assemblies, and coordinate systems.
  • Programming or automation experience, preferably Python, including version control, debugging, and integration with APIs or structured engineering data.
  • Demonstrated practical use of advanced AI-assisted engineering or coding tools such as Codex or Claude Code, with strong judgment for validating generated content.
  • Working knowledge of digital thread concepts and systems engineering fundamentals, including requirements, interfaces, traceability, configuration management, and verification and validation.
  • Ability to work effectively across disciplines, communicate technical information clearly, and execute scoped work in a fast-paced, collaborative environment.

Preferred Qualifications

  • Hands-on experience with NVIDIA Omniverse, Omniverse Kit, OpenUSD, or real-time 3D simulation and visualization workflows.
  • Experience building or operating a digital twin that links authoritative product definitions with simulation, test, or operational data.
  • Experience with MATLAB/Simulink, ANSYS, computational fluid dynamics, 6-DOF simulation, or hardware/software-in-the-loop test environments.
  • Familiarity with GitLab, CI/CD, containers, cloud platforms, databases, or event-driven data pipelines.
  • Experience developing aerospace vehicles or other complex, safety-critical products through their full lifecycle including design, integration, test, and operations.
  • Master's degree or PhD in a relevant engineering or technical field.
  • Active SECRET clearance or the ability to obtain a TS/SCI clearance.

Compensation and Employment Details

Base pay range varies by location. California applicants: $99,201.00 to $138,880.35. Colorado applicants: $90,934.00 to $127,307.25. Washington applicants: $99,201.00 to $138,880.35. Virginia applicants: $99,201.00 to $138,880.35. Other site ranges may differ.

Benefits include medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with company match of up to 5%, and an Education Support Program. Stock options available for all regular employees working at least 20 hours per week. Paid time off up to four weeks per year and up to 14 company-paid holidays.

Work Environment

Relocation provided. Travel expected up to 15% of the time. Interviews will include a technical assessment.

Employment Requirements

Applicants must be a U.S. citizen or national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum. Background check required for all positions.