Senior Software Engineer, Autonomous Pilot Integration – Weapons (R5427)
At a glance
Senior Software Engineering role at Shield AI. Washington · full-time · $163,200–$244,800 base.
techroles summary, based on the employer's posting.
What you'll do
- Set up onboard computers and integrate autopilots as you develop autonomy for launched-effects platforms
- Take major features from software simulation through hardware trials, flight tests and operational use
- Trace integration faults across autonomy software, embedded computers and platform connections using tests and mission data
- Get systems ready for deployment by checking hardware compatibility and coordinating release readiness
- Coordinate with autonomy, perception, autopilot and command-and-control partners on capabilities, designs and interface records
What you bring
- At least five years of relevant experience, or advanced-degree experience that is equivalent
- A bachelor's or master's in computing or an engineering discipline, or equivalent practical experience
- Strong C++ ability and experience creating or integrating embedded or real-time systems
- Background with Linux development, complex hardware-software integration, and system testing or field support
- Eligibility to obtain a SECRET clearance
Who this fits
This senior, hands-on role suits an engineer who wants to own autonomy features through flight trials and operational deployment. The position is onsite in Washington, with team travel typically around ten to twenty percent of the year for tests, customer exercises and integration work.
From the employer
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 develop and integrate autonomy capabilities for launched effects platforms, owning major features from design through operational deployment. You'll work closely with the Autonomy Capabilities and Perception teams, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer partners to deliver mission-ready autonomy software. This is a hands-on role for engineers who enjoy solving challenging integration problems and seeing their software operate in demanding real-world environments.
What You'll Do:
Develop & Field Autonomy – Develop and integrate autonomy software solutions onto launched effects platforms, including payload computer bring-up, autopilot integration (e.g., PX4, ArduPilot), multi-agent coordination, and deployment to disconnected or air-gapped environments. Own major features from software-in-the-loop through live flight testing and operational deployment.
Technical Leadership – Own major features or subsystems; drive technical execution, contribute to design decisions, mentor teammates, and help deliver complex autonomy capabilities.
Collaboration Across Teams & Partners – Partner closely with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners to deliver integrated autonomy capabilities.
Design & Documentation – Contribute to design reviews, ICDs, integration planning, and post-mortems while helping improve engineering rigor and cross-team execution.
Pre-deployment Preparation – Build, configure, and validate mission-ready systems for Capability Releases and fleet-scale deployments; coordinate hardware/software compatibility, mission readiness, and release readiness across engineering teams.
On-site Test & Mission Support – Travel to test sites, customer exercises, and live demonstrations to support flight operations, system bring-up, troubleshooting, and mission execution under operational timelines.
Hardware/Software Debugging – Diagnose and resolve integration issues across autonomy software, payload computers, embedded systems, and platform interfaces using simulation, laboratory testing, and operational data.
Mission Data & Debrief Support – Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to rapidly drive improvements into future releases.
Continuous Improvement – Develop tools and processes that improve integration timelines, testing reliability, deployment efficiency, and mission readiness.
C2 Interoperability & Standards – Implement and validate interfaces with C2 providers while supporting compliance with common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT).
Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.
Required Qualifications:
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BS/MS in Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, or equivalent practical experience.
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Typically requires 5+ years of relevant experience (or equivalent advanced degree experience).
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Strong proficiency in C++ and experience developing or integrating real-time or embedded systems.
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Experience with Linux-based development and embedded systems.
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Experience integrating complex software and hardware systems.
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Experience supporting system integration, testing, or field events.
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Ability to obtain a SECRET clearance.
Preferred Qualifications:
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Experience with launched effects, unmanned systems, or autonomous platforms.
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Experience with PX4, ArduPilot, or comparable autopilot stacks.
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Experience with multi-agent autonomy.
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Python, Docker, CMake/Conan, or CI/CD experience.
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Experience supporting military field exercises or defense customers.
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.