Senior GNC Controls & Localization Architect

Autonomous Solutions, Inc. (ASI); Logan (UT); On-site; USD 120,000 - 180,000; Full time

Job summary

Autonomous Solutions, Inc. (ASI) is seeking a senior GNC engineering leader to design and localize controls for unmanned ground vehicles. You will develop simulations, validate results in the field, and document outcomes for ongoing product development.

You will mentor junior engineers, write proposals, and leverage AI coding agents to accelerate from design to tested capability, using Python, C/C++, and ROS on-site in Logan, Utah.

Qualifications

• Master's or PhD in engineering with an emphasis in controls and localization.
• 10+ years of relevant controls and localization experience.
• Depth in state-space control, modern controllers, and localization algorithm design.

Responsibilities

• Design controls and localization algorithms for unmanned ground vehicles.
• Develop simulations that prove controls and localization designs before field testing.
• Validate and tune controls solutions on real vehicles in the field.
• Conduct research to produce design solutions, improvements, and new products.
• Document designs, analyses, and tuning results in company report format.
• Mentor junior GNC engineers and provide technical leadership in controls.
• Write proposals that require controls and localization solutions.
• Use AI coding agents to accelerate development from design to tested capability.
• Implement and integrate solutions across Python and C/C++/ROS.

Skills

Controls design

Localization

Python

C/C++

ROS

Mentoring

AI tools

Documentation

Education

Master's or PhD in engineering

Tools

ROS

Simulation tools

Job description

Autonomous Solutions, Inc. (ASI) is seeking a senior GNC engineering leader to design and localize controls for unmanned ground vehicles. You will develop simulations, validate results in the field, and document outcomes for ongoing product development.

You will mentor junior engineers, write proposals, and leverage AI coding agents to accelerate from design to tested capability, using Python, C/C++, and ROS on-site in Logan, Utah.