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Shield AI

Manager of Engineering - Autonomous Pilot Integration - Expeditionary (R5175)

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

First indexed 18 Jun 2026

Description

Shield AI is seeking a Manager of Engineering for its Autonomous Pilot Integration team, focusing on expeditionary platforms. The successful candidate will lead a team of autonomy engineers primarily working on Hivemind for V-BAT and X-BAT aircraft. The role involves developing and integrating autonomy software solutions, managing a team, and collaborating with various stakeholders.

Responsibilities:

  • Lead a small to mid-sized engineering team of 5-10 engineers, owning their delivery, growth, and technical health
  • Grow the team through hiring, mentoring engineers, and shaping their career development
  • Collaborate closely with the aircraft team that builds and maintains V-BAT and X-BAT
  • Develop and field autonomy software solutions for V-BAT and X-BAT, including payload and sensor integration
  • Provide technical leadership, set technical direction, and report progress to leadership and stakeholders
  • Stay hands-on, contributing directly to the code where it serves the team
  • Collaborate across teams and partners, including Autonomy Capabilities, Perception, and GCS teams
  • Design and document technical aspects, drive design reviews, and push the team toward higher rigor
  • Prepare for pre-deployment, own the build, configuration, and validation process for mission-ready systems
  • Support on-site test and mission activities, including travel to test sites and customer exercises
  • Troubleshoot and resolve integration issues across complex autonomy stacks and embedded systems
  • Capture mission and test data, reproduce issues in simulation, and drive fixes
  • Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency

Requirements:

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or similar
  • Minimum 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD
  • 2+ years of direct people-management experience
  • Demonstrated experience building or growing an engineering team, mentoring engineers, and leading a small technical team
  • Experience with Group 3 unmanned aircraft, VTOL platforms, or comparable medium-sized unmanned systems
  • Strong proficiency in C++, Linux-based development, and experience with embedded systems
  • Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems
  • Hands-on experience supporting live exercises, customer demonstrations, or operational test events
  • Ability to obtain a SECRET clearance

Preferred qualifications:

  • Direct experience integrating autonomy with custom or in-house autopilot stacks
  • Experience integrating autonomy with VTOL or hybrid-mode aircraft
  • Experience with EO/IR or ViDAR-class sensor integration
  • Proficiency in Python for scripting, automation, and analysis
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://jobs.lever.co/shieldai/41100943-59b9-46d4-a180-682638f104c8