---
title: 'Senior Software Engineer, Autonomous Pilot Integration (R5423) at Shield AI'
canonical: 'https://feeny.ai/job/senior-software-engineer-autonomous-pilot-integration-r5423-shield-ai-san-mateo-8105g4kr2wsh'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Software Engineer, Autonomous Pilot Integration (R5423) at Shield AI

- **Company:** Shield AI
- **Location:** San Mateo, CA
- **Compensation:** $196k–$294k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-19
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/shieldai/30d135cd-3193-4add-97b0-b228df883ecf

## Job description

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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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.

This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.

What you'll do:

- System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
- Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
- On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
- Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
- Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
- Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.
- Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.
- Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.
- Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Required Qualifications:

- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
- Typically requires a minimum of 2 years of related experience with a Bachelor’s degree; or completion of a Master’s or PhD program with internship or equivalent practical experience preferred; or equivalent professional experience.
- Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
- Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
- Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
- Hands-on experience supporting flight demos or live exercises.
- 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:

- Direct experience supporting unmanned aerial systems or similar flight test campaigns.
- Familiarity with autonomy stacks, flight control systems, or GNC pipelines.
- Competence in sensor integration, electronics debugging, or avionics bring-up.
- Proficiency in developing automation tools for system testing, logging, and data parsing.
- Comfortable interfacing with DoD stakeholders during field events or technical reviews.
- Experience with UCI and OMS Standards.

## #LI-ED1

#LC

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.

## About Shield AI

## Company Overview
- **One-liner**: Shield AI builds AI pilots and autonomous systems for military aircraft to protect service members and civilians.
- **Entity Type**: Private (Series G, venture-backed)
- **Headquarters**: San Diego, California, United States
- **Founded**: 2015
- **Founders**: Brandon Tseng, Ryan Tseng, Andrew Reiter

## Core Business
- Primary industry/industries: Defense technology, artificial intelligence, autonomous systems, aerospace
- Target customers: U.S. Department of Defense, allied nations’ military forces (B2G / Government)
- Mission or purpose statement: “Protect service members and civilians with intelligent systems.”

## Products & Services
- **Hivemind**: A combat‑tested, modular autonomy stack for aircraft – self‑driving technology for drones, jets, and helicopters. Includes path‑planning, mapping, state‑estimation, computer vision, and reinforcement learning. Type: Software (AI/autonomy).
- **V‑BAT**: A vertical take‑off and landing (VTOL) unmanned aerial system (UAS) designed for persistent ISR and strike missions. Type: Hardware (drone).
- **X‑BAT**: An advanced unmanned aircraft system with extended endurance and payload capacity, built for multi‑domain operations. Type: Hardware (drone).
- **Hivemind Vision Systems**: Computer‑vision and sensor‑fusion capabilities integrated into Hivemind for GPS‑denied environments. Type: Software + sensors.
- **Hivemind Enterprise**: A deployable version of Hivemind for third‑party platforms and commercial applications. Type: Software.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company). Total funding raised: $3.6B (as of Series G in March 2026).
- **Key Metric**: Annual Revenue ~$21.7M (estimated, private) | Total Funding $3.6B (including $2B Series G led by JP Morgan Chase and Advent International, March 2026).
- **Notable Investors/Partners**: JP Morgan Chase, Advent International, Blackstone, Riot Ventures, SnowPoint Ventures, Disruptive (55+ investors total). Strategic partners include U.S. DoD and allied defense forces.
- **Growth Signals**: Headcount grew 68.3% YoY to 1,283 employees; 338 active job postings (+57.2% YoY); operates in 5 countries (U.S., Australia, UAE, Norway, Ukraine); recent acquisitions of Sentient Vision Systems (2024), Heron Systems, MARTIN UAV.

## Competitive Advantages
- **Combat‑proven autonomy**: Hivemind has been tested in live military operations, providing a first‑mover advantage in contested, GPS‑denied environments.
- **Full‑stack integration**: Combines software (AI pilot), hardware (V‑BAT, X‑BAT), and sensor systems, creating a tightly integrated product ecosystem.
- **Cross‑functional engineering culture**: Engineers work across AI, robotics, aerospace, and defense – not siloed – enabling rapid iteration and field deployment.
- **Top talent pipeline**: Employees drawn from Lockheed Martin, Northrop Grumman, Raytheon, Amazon, Anduril, and other leading defense/tech firms.

## Strategic Focus
- **Scale AI pilots across all domains**: Extend Hivemind from aircraft to ships, satellites, and ground vehicles (“every military asset”).
- **International expansion**: Growing presence in Australia, Europe, and Middle East via mission autonomy centers and partnerships.
- **Deepen autonomy stack**: Continued investment in reinforcement learning, simulation, and computer vision to maintain leadership in contested‑environment autonomy.

## Why Work Here
- **Mission‑driven work**: Directly contribute to protecting service members and civilians with cutting‑edge AI and robotics.
- **Cross‑functional teams**: Engineers collaborate across disciplines (AI, hardware, software, systems) on real‑world defense challenges.
- **Benefits**: Excellent medical coverage, mental health EAP, paid parental leave, pet insurance, flexible work hours, gym discounts (SD) / on‑site gym (DC), free parking, competitive compensation, 401k with match, stock benefits.
- **Work policy**: Flexible work hours; some offices (e.g., San Diego HQ, Arlington, DC) have on‑site facilities. Remote/hybrid options available depending on role.
- **Growth trajectory**: Rapidly scaling (68% headcount growth) with hundreds of open roles across engineering, operations, and program management.

## Sources
1. [shield.ai/about](https://shield.ai/about/)
2. [shield.ai/careers](https://shield.ai/careers/)
3. [LinkedIn – Shield AI](https://www.linkedin.com/company/shield-ai)
4. [CBInsights – Shield AI](https://www.cbinsights.com/company/shield-ai)
5. [Lever – Shield AI Jobs](https://jobs.lever.co/shieldai)

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