Systems Engineer II

Application Close Date

Applications will be accepted on an ongoing basis until the requisition is closed.

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!

This role is part of Advanced Concepts and Enterprise Engineering (ACE), supporting Blue Origin’s mission of millions of people living and working in space for the benefit of Earth. The team fosters innovation and drives engineering workflows of the future, shared solutions and standards, simplicity and lower costs, and manufacturable design.

This role is part of the Advanced Concepts and Enterprise Engineering (ACE) team, which supports Blue Origin's mission of millions of people living and working in space for the benefit of Earth. Our team fosters innovation and drives the engineering workflows of the future by developing shared solutions and standards that emphasize simplicity, lower costs, and manufacturable design.

As a Systems Engineer II focused on a Vehicle Digital Twin, you will be at the forefront of developing a connected, data-driven representation of our vehicle using NVIDIA Omniverse. In this hands‑on role, you will connect system architecture, requirements, CAD geometry, analysis models, test evidence, and operational data into a single, traceable digital thread. This position uniquely combines systems engineering fundamentals with software automation, model integration, and the practical application of advanced artificial intelligence tools.

You will own scoped integrations and work products, partnering with senior engineers and multidisciplinary teams. The ideal candidate is comfortable moving between system models, 3D/CAD data, code, and engineering evidence, with a talent for turning ambiguous needs into testable and maintainable solutions.

• 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 the 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 (e.g., Codex, Claude Code, or equivalent) 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.
• Collaborate with guidance, navigation, and control; structures; thermal; avionics; software; test; manufacturing; and mission operations teams to deliver useful Digital Twin workflows.
• Participate in agile planning, demonstrations, technical reviews, and retrospectives; communicate progress, tradeoffs, and blockers clearly to all stakeholders.

• Bachelor's degree in Systems Engineering, Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or a related technical discipline.
• 2+ 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 Magic Draw 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 (e.g., Codex, Claude Code, or equivalent), with strong judgment for validating generated content.
• Working knowledge of digital thread concepts and systems engineering…