$200K – $275K/yr
Role overview
Job description
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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 — and lead a small team through the design, development, and delivery of a major capability or sub-program.
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Technical Leadership — Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders.
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Collaboration Across Teams — 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 them
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Mentorship & Growth — Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires.
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Design & Documentation — Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams.
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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.
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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.
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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.
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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.
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Continuous Improvement — Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.
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C2 Interoperability & Standards — Own the interface contracts with C2 providers and drive standards compliance for your area, including implementation and validation against command-and-control standards (e.g., A-GRA, UCI, OMS).
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Hiring — Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program.
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Travel Requirement – Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events).
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BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
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Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
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Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.
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Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
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Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).
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Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.
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Experience with autonomy simulation environments for testing and validation.
About this listing
- Source: Shield AI's official careers site (via Lever) · last confirmed on the source 29 Oct 2026
- Posted 8 Jun 2026
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What they are looking for
Skills & requirements
Qualification
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience; Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
Department · Hivemind Solutions Division
Hiring company
Shield AI
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