Shield AI

Senior Software Engineer, Autonomous Pilot Integration (R5200)

Shield AI$160K — $240K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS in relevant field or equivalent practical experience
  • 5+ years of experience with a Bachelor's; 4 years with a Master's; or 2 years with a PhD
  • Proficiency in C++, with experience in real-time systems
  • Experience with Linux-based development and embedded systems
  • Familiarity with middleware used in autonomy or robotics
  • Hands-on experience in field tests for unmanned systems
  • Strong problem-solving and troubleshooting skills
  • Ability to obtain a SECRET clearance

Responsibilities

  • Develop and integrate autonomy software for unmanned platforms
  • Collaborate with various teams for mission-critical functionality
  • Own the validation process for mission-ready systems
  • Support live mission operations and tests on-site
  • Diagnose and resolve integration issues
  • Capture mission data and drive improvements back into the system
  • Build tools to enhance team efficiency and reliability
  • Implement compliance with command-and-control standards

Benefits

  • Comprehensive benefits package
  • Bonus opportunities
  • Equity options
  • Paid travel for work-related events
  • Support for continuous learning and professional development
Full Job Description
The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. 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 an unmanned platform - air, maritime, space, or effects/expendables, depending on the program - then integrate, validate, and field it on the real hardware. In this role, you'll 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. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers). It's a hands-on role for engineers who like seeing their code operate in the real world - whether that's flying, sailing, orbiting, or downrange - and want to be there when it does.

Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain - air, maritime, space, and effects/expendables - in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.

What You'll Do:

  • Develop & Field Autonomy- Develop & integrate autonomy software solutions onto unmanned platforms (air, maritime, space, or effects/expendables), including payload computer bring-up, container-based deployment (e.g., k3s/k3d), and configuration across onboard compute, sensors, and command-and-control interfaces.


  • Collaboration Across Teams - Work closely with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers) to deliver and validate mission-critical functionality on time.


  • Pre-deployment Preparation - Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.


  • On-site Test & Mission Support - Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints.


  • Hardware/Software Debugging - Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments - including memory, CPU, and timing profiling under operationally-representative loads.


  • 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 - Implement and validate compliance with command-and-control standards (e.g., A-GRA, UCI, OMS) and coordinate with C2 providers on interface contracts and integration milestones.


  • Travel Requirement - Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test 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 5 years of related experience with a Bachelor's degree; or 4 years and a Master's degree; or 2 years with a PhD; or equivalent work experience.


  • Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.


  • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.


  • Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, ActiveMQ).


  • 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.


Preferred Qualifications:

  • Direct experience supporting uncrewed systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns.


  • Proficiency in Python for scripting, automation, and analysis.


  • Familiarity with autonomy stacks, motion planning, or vehicle-control integration.


  • Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging.


  • Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.


  • Familiarity with platform control / autopilot stacks (e.g., PX4, ArduPilot, spacecraft flight software, vessel autopilots).


  • Proficiency in developing automation tools for system testing, logging, and data parsing.


  • Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity.


  • Comfortable interfacing with DoD stakeholders during field events or technical reviews.


  • Experience with C2 standards such as A-GRA, UCI, or OMS.


  • Familiarity with government-furnished simulation environments (e.g., AFSIM, NGTS) is a plus.


$160,000 - $240,000 a year

#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.

About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

Similar Jobs

More Jobs at Shield AI

More Aerospace & Defense Jobs

Find similar Senior Software Engineer, Autonomous Pilot Integration (R5200) jobs: