Staff Software Engineer, Autonomous Pilot Integration (R5208)
Shield AI
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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 theĀ HivemindSDKĀ to develop the autonomy software that runs on an unmanned platform ā air, maritime, space, or effects/expendables, depending on the program ā then integrate, validate, and field it on the real hardware. In this role, you'll write new autonomy code ā such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy ā 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.Ā You'llĀ partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers).Ā It'sĀ a hands-on role for engineers who like seeing their codeĀ operateĀ in the real world ā whetherĀ that'sĀ flying, sailing, orbiting, or downrange ā and want to be there when it does.Ā
At this level,Ā you'llĀ also serve as a technical leader within the team ā leading a small feature crew or sub-program through design, integration, and delivery, mentoring mid-level engineers, andĀ representingĀ the team directly to capability teams and external partners.Ā
Shield AI is committed to developingĀ cutting-edgeĀ autonomy for unmanned platforms across every operating domain ā air, maritime, space, and effects/expendables ā 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 wheneverĀ they'reĀ needed most.Ā
What You'll Do:
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Develop & Field AutonomyĀ āĀ 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 onboardĀ compute, sensors, and command-and-control interfaces ā and lead a small team through the design, development, and delivery of a major capability or sub-program.Ā
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Technical LeadershipĀ ā Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders.Ā
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Collaboration Across TeamsĀ āĀ Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers); author and negotiate ICDs and interface contracts rather than just consume themĀ
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Mentorship & GrowthĀ ā Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires.Ā
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Design & DocumentationĀ ā Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams.Ā
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Pre-deployment PreparationĀ ā 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.Ā
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On-site Test & Mission SupportĀ ā 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.Ā
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Hardware/Software DebuggingĀ ā Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments ā including memory, CPU, andĀ timing profilingĀ under operationally-representative loads.Ā
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Mission Data & Debrief SupportĀ ā Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.Ā
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Continuous ImprovementĀ ā Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.Ā
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C2 Interoperability & StandardsĀ ā Own the interface contracts with C2 providers and driveĀ standards complianceĀ for your area, including implementation and validation against command-and-control standards (e.g., A-GRA, UCI, OMS).Ā
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HiringĀ ā Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program.Ā
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Travel RequirementĀ ā Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events).Ā
Required Qualifications:
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BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experienceĀ
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Typically requires a minimum of 7 years of related experience with aĀ BachelorāsĀ degree; or 5 years and aĀ MasterāsĀ degree; or 4 years with a PhD; or equivalent work experience.Ā
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ProficiencyĀ in C++, with experience developing or integrating real-time or latency-sensitive systems.Ā
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ProficiencyĀ in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.Ā
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Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).Ā
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Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.Ā
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Experience with autonomy simulation environments for testing and validation.Ā
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Demonstrated experience leading a small technical team or owning a major capability from design through field delivery.Ā
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Track recordĀ of mentoring engineers and growing technical talent.Ā
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Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders.Ā
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Strong problem-solving skills, with the ability to troubleshoot andĀ optimizeĀ system performance across the full stack.Ā
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Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.Ā
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Ability to obtain a SECRET clearance.Ā
Preferred Qualifications:
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Direct experience supporting unmanned systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns.Ā
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ProficiencyĀ in Python for scripting, automation, and analysis.Ā
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Experience leading a feature crew, sub-program, or small team in an unmanned systems context.Ā
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Experience owning customer- or partner-facing technical relationships (e.g., autopilot vendors, C2 providers, government program offices).Ā
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Track recordĀ of cross-team improvements (process, rigor, documentation, or developer experience).Ā
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Familiarity with autonomy stacks, motion planning, or vehicle-control integration.Ā
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Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging.Ā
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Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.Ā
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Familiarity with platform control / autopilot stacks (e.g., PX4,Ā ArduPilot, spacecraft flight software, vessel autopilots).Ā
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ProficiencyĀ in developing automation tools for system testing, logging, and data parsing.Ā
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Build-system experience (e.g., Conan,Ā CMake) and CI/CD pipeline familiarity.Ā
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Comfortable interfacing with DoD stakeholders during field events or technical reviews.Ā
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Experience with C2 standards such as A-GRA, UCI, or OMS.Ā
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Familiarity with government-furnished simulation environments (e.g., AFSIM, NGTS) is a plus.Ā
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