Senior Manager, Autonomy Capabilities (SD/DC) (R3433)

Posted Yesterday
Be an Early Applicant
2 Locations
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Our mission is to protect service members and civilians with intelligent systems.
The Role
Lead teams in autonomy development and integration for robotics and defense systems while managing technical challenges and mentor engineers in a collaborative environment.
Summary Generated by Built In

Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems. Its products include Hivemind Enterprise—EdgeOS, Pilot, Commander, and Forge—as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software). With offices in San Diego, Dallas, Washington, D.C., Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology actively supports U.S. and allied operations worldwide.  For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X and Instagram.    


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. In this role, you will manage a technical team supporting the development, testing, and analysis of autonomy algorithms for advanced aerospace, defense, and robotic systems. 


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:

  • Multidisciplinary Team Leadership: Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication.
  • Autonomy Development: As an Autonomy Engineer on this team, you will lead teams at the intersection of artificial intelligence, task & motion planning, and controls. Write autonomous behaviors for varying aircraft platforms (i.e., VTOL and Fixed Wing)
  • Collaboration: You will work closely with talented engineers to architect solutions, set standards for software engineering, drive strategic technical improvements, and mentor other engineers. Work with Subject Matter Experts to understand customer needs and implement appropriate autonomy solutions
  • System Integration: Integrate Shield AI autonomy products together with third party systems

Required Qualifications:

  • Bachelor’s Degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field (Master’s preferred).
  • 10+ years of experience developing and integrating autonomy algorithms in robotics, aerospace, or defense systems.
  • 2+ years managing technical teams.
  • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
  • Significant background in robotics technologies related to sensing, estimation, path planning, and data fusion. 
  • Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain) 
  • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
  • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
  • Ability to obtain a SECRET clearance. 

Preferred Qualifications:

  • 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.
  • Experience with UCI and OMS Standards
  • Active SECRET clearance

#LE

#LI-ED1


Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity


Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)


Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.


###


Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Top Skills

Afsim
C++
Ngts
Python
Real-Time Operating Systems (Rtos)
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The Company
HQ: San Diego, CA
750 Employees
Hybrid Workplace
Year Founded: 2015

What We Do

Shield AI is building the world's best AI pilot. Our Hivemind autonomy stack is the first and only autonomous AI Pilot, deployed in combat since 2018. Hivemind enables intelligent teams of aircraft to perform missions ranging from room clearance, to penetrating air defense systems, and dogfighting F-16s.

Why Work With Us

What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.

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