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GNC & Autonomy Engineer

Job in Rockledge, Brevard County, Florida, 32956, USA
Listing for: Mainstream Engineering
Full Time position
Listed on 2026-10-09
Job specializations:
  • Engineering
    Robotics
Job Description & How to Apply Below
We're looking for a Senior GNC & Autonomy Engineer to help us build out a new portfolio in autonomous systems for our military, governmental, and commercial customers. In this role, you'll own the "brains" of autonomous systems: guidance, navigation, and control; state estimation; perception and computer vision; and machine learning methods. This isn't a mature product line with an established roadmap;

you'll be building it. Your creativity and research interests will largely determine what we build next, and you'll be responsible for writing the proposals and winning the programs that fund it. We're hiring for this role alongside a companion Sr. Robotics Engineer posting covering the other half of this portfolio - feel free to apply to either based on your strengths, or apply together with a research partner as a pair if you'd like to build this out as a team from day one.

This is a unique opportunity with near-complete autonomy to build out your own research vector, backed by an established R&D firm with the infrastructure, proposal support, and customer relationships already in place. While this group is being built out, you'll also support our existing mechanical design, thermal, and other funded programs as needed, until there's steady work while you grow the pipeline in your own area.

You'll also be expected to help train and mentor junior engineers.

What You'll DoDevelop guidance, navigation, and control algorithms for autonomous systems - undersea and ground-based vehicles, and other autonomously-operating platforms

Design and implement state estimation, sensor fusion, and localization/mapping methods

Develop computer vision and machine learning methods for perception and autonomous decision-making

Take algorithms from theory to simulation to hardware-in-the-loop to field testing

Write technical proposals to both government and private customers to define and win the work that funds your research vector

Propose and lead internal IRAD efforts to mature new capabilities ahead of customer need Collaborate closely with our robotics and mechanical engineers on sensor selection and system-level integration

Interface directly with government and commercial customers to understand requirements and demonstrate capability

Support existing mechanical design, thermal, and other funded programs as needed, particularly while your own portfolio ramps upHelp train and mentor junior engineers

What We're Looking For

Required:

Ph.D. in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, or a related field, with a focus on controls, robotics, or machine learning (exceptional M.S. candidates with a strong research background or relevant industry experience will also be considered)
Minimum of a 3.3 GPA for all completed degrees

Demonstrated, hands-on experience developing and testing control algorithms, state estimation, or ML/CV methods on real systems

Proficiency in relevant programming languages (e.g., Python, C++, MATLAB)
U.S. Citizenship required due to ITAR requirements, and ability to obtain a security clearance as required in the future

Willingness to mentor junior engineers and flex across adjacent mechanical engineering work while the portfolio grows

Preferred:

Research experience in nonlinear/robust control, state estimation, or reinforcement learning applied to autonomous systems

Experience with computer vision or perception methods for navigation, mapping, or object detection/classification

Experience running algorithms on embedded or real-time hardware

Experience writing technical proposals or leading independent research

Familiarity with undersea (AUV/UUV), ground robotic, or other autonomous platforms

Prior experience mentoring or leading junior researchers or engineers

Mainstream Engineering Corporation is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

Job type:
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