Shield AI

Defense-tech

ManagerofEngineering-AutonomousPilotIntegration

$220–330k Chicago, Illinois, United States; Tel Aviv, Israel; United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager of Engineering - Autonomous Pilot Integration at Shield AI. Skills: Autonomous Pilot Integration, Autonomy software, Fleet operations, Embedded systems. Lead a team of autonomy engineers. Own team delivery”

What You'll Achieve.

Deliver major capability; Deliver major program; Improve integration timelines; Improve test reliability; Improve team efficiency

Industry & Context.

Defense tech
Problems you'll solve

Troubleshooting; Debugging; Root cause analysis

Eligibility Requirements

Travel to test sites, On-site support, SECRET clearance

What They're Looking For.

Must Have

Ability to obtain a SECRET clearance

Nice to Have

Direct experience with PX4, Direct experience with ArduPilot, Experience using QGroundControl, Experience developing on QGroundControl, Proficiency in Python, Experience leading a feature crew, Experience leading a sub-program, Experience leading a small team, Experience growing engineers, Experience with air-gapped deployment, Experience with disconnected deployment, Experience with constrained deployment, Familiarity with tactical edge C2, Familiarity with TAK, Familiarity with CoT, Familiarity with ground operator workflows, Experience working with embedded contractor engineers, Experience working with FFRDC partners, Experience working with customer-funded staff augmentation, Experience supporting international defense customer programs, Experience owning customer-facing technical relationships, Experience owning partner-facing technical relationships, Track record of cross-team improvements, Familiarity with autonomy stacks, Familiarity with motion planning, Familiarity with vehicle-control integration, Competence in avionics bring-up, Competence in payload computer integration, Competence in hardware-in-the-loop debugging, Experience with container orchestration, Experience with k3s, Experience with k3d, Experience with Docker, Proficiency in developing automation tools, Build-system experience, Experience with Conan, Experience with CMake, CI/CD pipeline familiarity, Interfacing with DoD stakeholders, Experience with common message standards, Experience with open-systems standards, Experience with UCI, Experience with OMS, Experience with MOSA, Experience with WOSA

What You'll Do.

Lead a team of autonomy engineers

Grow the team via hiring

Identify needed skills

Partner with recruiting

Provide technical help

Develop autonomy software

Integrate autonomy software

Integrate payload computer

Coordinate multi-agent

Deploy to disconnected environments

Deploy to air-gapped environments

Set technical direction

Report progress to leadership

Report progress to stakeholders

Act as technical interface

Author interface contracts

Negotiate interface contracts

Push team toward rigor

Own configuration process

Own validation process

Coordinate hardware/software compatibility

Coordinate mission readiness

Coordinate CR cadence

Support live mission operations

Perform safety checks

Perform system bring-up

Troubleshoot under constraints

Diagnose integration issues

Resolve integration issues

Reproduce issues in simulation

Drive fixes into builds

Build tools for efficiency

Build processes for efficiency

Own interface contracts with C2 providers

Drive compliance against standards

How You'll Work.

Team & Collaboration

Partner with Autonomy Capabilities team; Partner with Perception team; Partner with feature crews; Partner with autopilot vendors; Partner with C2 providers; Partner with customer partners; Partner with contractor partners; Collaborate with autonomy capability owners

Communication Scope

Technical interface; ICDs; Interface contracts; Customer-facing relationships; Partner-facing relationships; DoD stakeholders; Technical reviews

Process & Methodology

Agile, Capability Release, Fleet-scale deployment

Full Job Description

## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.  Job Description: The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. Our engineers write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead a team of autonomy engineers working on launched effects programs — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — close enough to the code and the integration work to make sound technical decisions, to be credible to your team, and to lead them through the design, development, and delivery of a major capability or program. You'll partner closely with the Autonomy Capabilities and Perception teams,

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