Ground Autonomy Control Engineer II

BLUE ORIGIN

Ground Autonomy Control Engineer II developing software to autonomously load propellants for New Glenn rocket. Collaborating with simulation and launch teams to validate control models and software.

Posted 7/9/2026full-timeGreater Seattle Area • Florida, Washington • 🇺🇸 United StatesJuniorMid-Level💰 $107,136 - $149,990 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and validating software for aerospace applications, particularly in control algorithms and model-based design. Proficient in programming languages and AI technologies, with a strong foundation in engineering principles.

Highest-signal resume keywords

Simulink Control Algorithm DevelopmentC/C++ ProgrammingArtificial Intelligence (AI) TechnologiesMachine Learning (ML) IntegrationLinux Operating System Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SimulinkC/C++PythonAI TechnologiesMachine LearningSoftware IntegrationStateFlowPlant SimulationsConfiguration ManagementModel-Based Design

Tools & Technologies

GitLabLinux

Industry Keywords

Aerospace EngineeringControls EngineeringLaunch Vehicle DevelopmentP&ID DrawingsFlight-Ready Code

Tech Stack

Tools & technologies

LinuxPython

About the role

Key responsibilities & impact

Support the development and operations of New Glenn, a single-configuration, heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond.
Develop software to autonomously load propellants and launch Blue Origin’s pioneering New Glenn rocket.
Translate understanding of P&ID drawings into robust Simulink control algorithms, converting cutting-edge concepts into executable, flight-ready code.
Collaborate closely with the simulation team to verify control models.
Work in tandem with the launch team to validate software in real-world scenarios.

Requirements

What you’ll need

B.S. or higher in Engineering (Mechanical, Electrical, Chemical, Aerospace, Software, or related field)
2+ years of experience in the applicable industry and/or a controls-related role in a non-academic, professional setting
Experience with Simulink or other model-based design software
Experience working in a configuration managed development environment
Knowledge of common programming languages such as C/C++, Python
Hands-on experience with artificial intelligence (AI) and machine learning (ML) technologies
Willingness to learn and work with AI model integration, deployment, and optimization
Experience with Linux (preferred)
Experience with GitLab (preferred)
Experience with plant simulations (preferred)
Experience with software integration (preferred)
Experience with StateFlow (preferred)
Strong understanding of current AI tools and frameworks (preferred).

Benefits

Comp & perks

Medical, dental, vision, basic and supplemental life insurance
Paid parental leave
Short and long-term disability
401(k) with a company match of up to 5%
Education Support Program
Stock Options for all regular employees (working at least 20 hours/week)
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.