Senior Software Engineer, Autonomous Pilot Integration – Emerging Domains (R5423)

Shield; Washington (District of Columbia); On-site; USD 150,000 - 190,000; Full time

Job summary

Shield AI is seeking an experienced autonomy engineer to stand up and field autonomy capabilities across emerging-domain platforms. The role involves integrating Shield AI capabilities with platform-specific software and validating performances through multi-level testing.

You will work cross-functionally with platform teams, Perception, GCS, and customer programs to deliver mission-ready autonomy solutions.

Qualifications

• BS/MS in a relevant engineering discipline or equivalent practical experience.
• Typically requires 5+ years of relevant experience.
• Strong proficiency in C++ and Linux-based development.
• Experience integrating embedded or real-time software systems.
• Experience supporting integration, testing, or operational field events.
• Strong systems-level problem-solving skills.
• Ability to obtain a SECRET clearance.

Responsibilities

• Stand up new autonomy capabilities on emerging platforms by integrating existing Shield AI capabilities with platform-specific software and developing new autonomy where needed.
• Develop and field autonomy software onto emerging-domain platforms, including platform and autopilot integration, payload and sensor integration, mission behaviors, multi-agent coordination, and validation through software-, hardware-, vehicle-, and live testing.
• Partner closely with platform teams to integrate autonomy capabilities, validate interfaces, coordinate hardware/software compatibility, and support mission readiness.
• Collaborate across the Autonomy Capabilities, Perception, GCS teams, feature crews, and customer/program offices to deliver integrated autonomy solutions.
• Contribute to design reviews, ICDs, integration planning, and post-mortems while improving engineering rigor across teams.
• Build, configure, validate, and prepare mission-ready systems while coordinating release readiness with platform and capability teams.
• Support flight tests, maritime trials, ground testing, customer demonstrations, and operational exercises through system bring-up, troubleshooting, and mission execution.
• Diagnose and resolve integration issues across autonomy software, payload computers, embedded systems, and platform interfaces.
• Capture mission data, reproduce issues in simulation, and partner with capability owners to rapidly improve future releases.
• Develop tools and engineering processes that improve integration velocity, testing reliability, and mission readiness.
• Implement and validate interfaces with command-and-control systems while supporting program-appropriate interoperability standards.
• Travel typically 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.

Skills

C++ proficiency

Linux development

Embedded systems

Field testing

Security clearance

Education

BS/MS in engineering

Tools

Python

Docker

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-BATaircraft, 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.

The Autonomous Pilot Integration team for Emerging Domains builds autonomy solutions for new platforms and mission profiles outside Shield AI’s established portfolios—including space (satellites, missile defense), maritime (USV and UUV integration), and contestedlogistics(unmanned helicopters and related autonomous resupply platforms). The team takes on short-term R&D and integration efforts—often standing up the first autonomy on a brand-new platform or mission—with the intent that successful efforts grow into larger, multi-year programs. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g.,ViDAR, ATR), and theHivemindSDK—selectivelyleveragingexisting Shield AI autonomy solutions where they apply—to develop autonomy that runs on these new platforms. 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’lldevelop and integrate autonomy capabilities across a variety of emerging-domain platforms while helpingestablishautonomy on systems that often have no existing autonomy baseline.You’llwork closely with platform teams, the Autonomy Capabilities, Perception, and GCS teams, feature crews, and customer stakeholders to solve complex integration challenges and deliver mission-ready autonomy software. This is a hands‑on role for engineers who enjoy working across diverse platforms, solving ambiguous technical problems, and seeing new capabilitiesoperatein real-world environments.

What You’ll Do:

• Stand Up New Capabilities – Helpestablishautonomy on new platforms and mission areas by integrating existing Shield AI capabilities with platform-specific software and developing new autonomy where needed.

• Develop & Field Autonomy – Develop and integrate autonomy software onto emerging-domain platforms, including platform and autopilot integration, payload and sensor integration, mission behaviors, multi-agent coordination, and validation through software-, hardware-, vehicle-, and live testing.

• Platform Team Partnerships – Partner closely with platform teams to integrate autonomy capabilities,validateinterfaces, coordinate hardware/software compatibility, and support mission readiness.

• Collaboration Across Teams & Partners – Work with the Autonomy Capabilities, Perception, GCS teams, feature crews, and customer/program offices to deliver integrated autonomy solutions.

• Design & Documentation – Contribute to design reviews, ICDs, integration planning, and post-mortems while improving engineering rigor across teams.

• Pre-deployment Preparation – Build, configure,validate, and prepare mission-ready systems while coordinating release readiness with platform and capability teams.

• On‑site Test & Mission Support – Support flight tests, maritime trials, ground testing, customer demonstrations, and operational exercises through system bring‑up, troubleshooting, and mission execution.

• Hardware/Software Debugging – Diagnose and resolve integration issues across autonomy software, payload computers, embedded systems, and platform interfaces.

• Mission Data & Debrief Support – Capture mission data, reproduce issues in simulation, and partner with capability owners to rapidly improve future releases.

• Continuous Improvement – Develop tools and engineering processes that improve integration velocity, testing reliability, and mission readiness.

• C2 Interoperability & Standards – Implement andvalidateinterfaces with command-and-control systems while supporting program‑appropriate interoperability standards.

• 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:

• BS/MS in a relevant engineering discipline or equivalent practical experience.

• Typically requires 5+ years of relevant experience.

• Strongproficiencyin C++ and Linux-based development.

• Experience integrating embedded or real-time software systems.

• Experience supporting integration, testing, or operational field events.

• Strong systems-level problem-solving skills.

• Ability to obtain a SECRET clearance.

Preferred Qualifications:

• Experience with autonomousaircraft, maritime systems, spacecraft, or robotics.

• Experience with autonomy software, autopilot integration, or robotics frameworks.

• Python, Docker, or CI/CD experience.

• Experience working in early‑stage R&D or rapid prototyping environments.

• Experience supporting DoD customers or field demonstrations.

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.