New The Skills of Tomorrow: how AI-exposed is every skill in 2026? See the data →
Shield AI

Manager of Engineering - Autonomous Pilot Integration - Emerging Domains (R5176)

Shield AI
Apply →
onsite senior full-time USD 220,000-330,000 per-year-salary

First indexed 18 Jun 2026

Description

The Autonomous Pilot Integration team for emerging domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios , including space, maritime, and contested logistics. As the Manager of Engineering, you will lead a team of autonomy engineers tackling autonomy across Shield AI's emerging-domain efforts.

Responsibilities:

  • Lead the Team , Manage an engineering team; own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals.
  • Grow the Team via Hiring , Drive hiring for your area; identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates.
  • Grow Engineers Technically , Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact.
  • Stand Up New Programs , Stand up autonomy on new platforms and missions; define what the autonomy stack looks like, decide what to build versus what to leverage from existing Shield AI capabilities, and set the technical direction for the effort.
  • Navigate Ambiguity & Shifting Priorities , Operate effectively in an environment where program shape, scope, and timeline often shift.
  • Develop & Field Autonomy , Develop & integrate autonomy software solutions onto emerging-domain platforms.
  • Technical Leadership , Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders.
  • Hands-on Technical Contribution , Stay active in the code; contribute directly where it serves the team.
  • Platform Team Partnerships , Build strong partnerships with each platform team that owns the underlying hardware.
  • Collaboration Across Teams & Partners , Act as a primary technical interface with the Autonomy Capabilities, Perception, and GCS teams, feature crews, and customer/program offices.
  • Design & Documentation , Drive design reviews, ICDs, and post-mortems for your area.
  • Pre-deployment Preparation , Own the build, configuration, and validation process for mission-ready systems.
  • On-site Test & Mission Support , Travel to test sites, customer exercises, and demonstrations to support live mission operations.
  • Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems.
  • Mission Data & Debrief Support , Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.
  • Continuous Improvement , Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.
  • C2 Interoperability & Standards , Own the interface contracts with C2 providers and drive compliance against common message and open-systems standards.
  • Grow R&D into Programs , Work with leadership and customers to evolve successful short-term R&D efforts into larger, longer-term programs.

Requirements:

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
  • Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience.
  • 2+ years of direct people-management experience.
  • Demonstrated experience building or growing an engineering team.
  • Track record of mentoring engineers and growing their technical skill and career trajectory.
  • Demonstrated experience leading a small technical team or owning a major capability from design through field delivery.
  • Demonstrated ability to thrive in ambiguity.
  • Experience standing up autonomy on a new platform or for a new mission type.
  • Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders.
  • Direct experience with autonomous unmanned systems.
  • Strong proficiency in C++.
  • Proficiency in Linux-based development and experience working with embedded systems.
  • Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems.
  • Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.
  • Experience with autonomy simulation environments for testing and validation.
  • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.
  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
  • Ability to obtain a SECRET clearance.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://jobs.lever.co/shieldai/3cecec97-d846-4fe0-914a-4a266f333db9