Lead Autonomy Engineer — Pilot Integration & Field Deployment

Shield AI

San Mateo (CA)

On-site

USD 150,000 - 210,000

Full time

8 days ago
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Benefits offered by this job

Medical Coverage
Mental Health Program
Parental Leave
Pet Insurance
Flexible Hours
Onsite Gym
Gym Discount
Free Parking
Competitive Compensation
Stock Benefits
401K Matching

Job summary

Shield AI seeks an experienced Autonomous Pilot Integration engineer to own major autonomy capabilities and deliver them from design through field deployment. You will lead a small technical team, coordinate with autonomy capabilities and perception teams, and partner with external platform integrators to field reliable autonomy software on unmanned platforms.

You will implement mission behaviors, platform-specific control, and multi-agent coordination, while mentoring engineers and supporting

Qualifications

  • BS/MS in Computer Science, Electrical/Mechanical/Aerospace Engineering or related field, or equivalent practical experience.
  • Experience with autonomy stacks, motion planning, or vehicle-control integration.
  • Strong C++ development and Linux software engineering background.
  • Experience authoring or negotiating interface contracts / ICDs with stakeholders.
  • Mentor engineers and lead small teams on major capabilities.

Responsibilities

  • Develop autonomy software such as mission behaviors, multi-agentcoordination, and executive autonomy.
  • Bridge R&D to deployment across hardware-in-the-loop and live test exercises.
  • Lead a small feature crew or sub-program and report progress to leadership.
  • Collaborate with Autonomy Capabilities, Perception, and external platform integrators.
  • Own pre-deployment preparation, validation, and mission readiness.

Skills

C++
Linux
Embedded systems
Python
CI/CD
Container orchestration
Mentoring
Autonomy stacks
DoD liaison
Interface contracts

Education

BS/MS in CS/EE/ME/AE

Tools

DDS
Docker
K3s/K3d
PX4/ArduPilot
ICDs

Job description

Shield AI seeks an experienced Autonomous Pilot Integration engineer to own major autonomy capabilities and deliver them from design through field deployment. You will lead a small technical team, coordinate with autonomy capabilities and perception teams, and partner with external platform integrators to field reliable autonomy software on unmanned platforms.

You will implement mission behaviors, platform-specific control, and multi-agent coordination, while mentoring engineers and supporting

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