This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalities. An ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenarios. These solutions are expected to be integrated into real-world problems with near-term program impacts and rewards. Shield AI is looking to continue to push the envelope by teaming traditional autonomous systems algorithms and deep reinforcement learning-based solutions to create an unmatched capability and speed to deployment technology base.
What You'll Do:
As an Autonomy Engineer on this team, you will lead teams at the intersection of artificial intelligence, task & motion planning, and controls.
You will work closely with talented engineers to architect solutions, set standards for software engineering, drive strategic technical improvements, and mentor other engineers.
Integrate Shield AI autonomy products together with third party systems
Write autonomous behaviors for varying aircraft platforms (i.e., VTOL and Fixed Wing)
Work with Subject Matter Experts to understand customer needs and implement appropriate autonomy solutions
Required Qualifications:
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
Mathematical background in both linear/nonlinear control theory and autonomous systems technologies/algorithms
Understanding of robotics technologies related to sensing, estimation, path planning, and data fusion.
Ability to develop, benchmark, debug, and deploy software-based algorithms
3-5+ years of experience in Unmanned Systems programs in the DoD or applied R&D
Understanding/Experience with unmanned system technologies and accompanying algorithms (specifically air domain)
Experience working projects with 10+ contributors
Offers Fast, efficient, effective problem solving approaches
Exceptional collaborator and communicator
Comfortability within Unix environments
Hard-working, trustworthy teammate
Exhibits holding themselves and others to high standards
Being kind to others
Ability to obtain a SECRET clearance
Preferred Qualifications:
MS or greater in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
Demonstrated problem solving skills by applying a scientific approach
Ability to understand, derive, and implement motion models and accompanying controllers for trajectory generation and tracking.
