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
- Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
- Strong experience with C++ in a production environment
- Significant background in robotics technologies related to sensing, estimation, path planning, and data fusion.
- Proficiency in software development, benchmarking, debugging, and deployment
- 7+ years of experience in Unmanned Systems programs in the DoD or applied R&D
- 2+ years of people leadership experience
- Significant 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
- Experience in a collaborative development environment, focused on continuous integration/delivery & test-driven development
- Strong knowledge of modern software engineering best practices
- Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others
- Strong organizational skills
Preferred Qualifications:
- MS or greater 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
- 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.
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