As a Staff Flight Test Engineer / Test Director, you will serve as the end-to-end Test Director for the integration, verification, and flight test of Hivemind Mission Autonomy on small Unmanned Aircraft Systems (UAS). You will own the technical direction, execution, and readiness of test campaigns, applying a fly–fix–fly methodology to rapidly mature autonomy capabilities from simulation and lab environments through flight. 

In this role, you are the single technical authority for test execution—responsible for determining test readiness, directing test conduct, managing risk, and ensuring data-driven decisions throughout development and flight test operations. You will lead cross-functional teams across engineering, safety, and program management, aligning stakeholders around clear objectives, disciplined execution, and continuous learning. 

The Discrete Planning Group is a part of the Autonomy Team for Hivemind Enterprise Product. The group is an agile set of engineers focused on researching and developing state-of-the-art algorithms that drive intelligent and confidence-inspiring flight behaviors while accounting for an uncertain and dynamic world. As a member of the group, you will work at the intersection of artificial intelligence, discrete optimization, and motion planning. You will architect and write high-quality software for core systems, set standards for software engineering, refine technical requirements, drive strategic technical improvements, and mentor other engineers.

• Take extreme ownership of assigned proposal efforts for the product line. 
• Manage multiple competing priorities in a dynamic, fast-paced environment including proposal management, technical content generation, and process improvement.  
• Develop strategies that result in high quality, compliant and compelling proposals.  
• Serve as the primary cross-functional owner of each proposal at all levels of the organization.  
• Manage Project lifecycle from start to finish including kickoff, collaboration with stakeholders, leadership reviews. 
• Maintain strict configuration management of all documentation. 
• Develop compliance matrices to document solicitation requirements and ensure compliant proposals are submitted to a customer. 
• Manage and author technical content for requests for information, abstracts, and quad charts. 
• Support Account Executives to close deals and grow revenue by managing and driving critical business development operations. 
• Work closely with BD, marketing, engineering, program, and product management teams to ensure proposal compliance for the technical, management, pricing, and past performance sections are

• 3-5+ years of proposal management experience plus experience working with government and International customers. 
• Bachelor's degree in business, marketing, engineering or equivalent industry experience. 
• Exposure to proposal methodologies (e.g. Shipley). 
• Outstanding record of academic achievement. 
• Demonstrated aptitude for analytics. 
• Proven record of leadership in a work setting and/or through extracurricular activities. 
• Exceptional analytical and quantitative problem-solving skills. 
• Ability to author technical content for requests for information, abstracts, and quad charts. 
• Ability to work collaboratively in a team environment. 
• Ability to work effectively with people at all levels in an organization. 
• Ability to communicate complex ideas effectively – both verbally and in writing. 
• You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. 

• Experience managing Commercial proposals and agreements  
• Strong understanding of AI and robotics technology 
• Familiarity with software products. 
• Strong technical background especially with Unmanned Aircraft Systems (UASs). 
• You have demonstrated thorough understanding and knowledge of the military operations and the acquisition process that allows you to maintain strong customer relations. 
• Demonstrated understanding of specific DoD operational scenarios and systems. 
• Eligible for Secret+ security clearance.

• BS/MS in Computer Science, Software Engineering, Computer Engineering, or equivalent practical experience.
• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
• Strong proficiency in C++, with experience developing complex, multi-threaded, or latency-sensitive desktop applications.
• Experience building responsive user interfaces using Qt/QML (or similar modern UI frameworks).
• Hands-on experience customizing, extending, or building with QGroundControl (QGC) or similar open-source/proprietary ground station software.
• Experience full-stack or building backend in C/C++, Python, TypeScript, or Go, including service orchestration, command/status interfaces, and data pipelines between UI, ground services, and vehicle-side components.
• Deep familiarity with networked and distributed systems, including UDP/TCP transport, custom binary protocols, reliable messaging, pub-sub/IPC middleware, and serialization/IDL tooling.
• Experience using AI-assisted development tools to accelerate software design, implementation, debugging, testing, and code review while maintaining strong engineering judgment, validation discipline, and ownership of final technical decisions.
• Demonstrated experience owning a major software capability or system from architecture through field delivery.
• Track record of mentoring engineers and growing technical talent.
• Experience authoring or negotiating interface contracts, schemas, or ICDs with internal or external stakeholders.
• Strong debugging and profiling skills, including diagnosing memory leaks, UI responsiveness bottlenecks, and network latency issues.
• Ability to obtain a SECRET clearance.

• Experience with Geographic Information Systems (GIS), map rendering engines (e.g., Mapbox, Cesium, Esri, QGC Map Engine), and 2D/3D spatial data visualization.
• Familiarity with video streaming protocols and multimedia frameworks (e.g., RTSP, WebRTC, GStreamer, H.264/H.265 video codecs).
• Experience developing post-mission telemetry analysis, log parsing, or interactive playback/debrief systems.
• Familiarity with containerization (e.g., Docker, Kubernetes) and deploying C2 services to local, edge, or cloud environments.
• Experience with platform control / autopilot protocols (e.g., MAVLink, STANAG 4586) or DoD C2 standards (e.g., A-GRA, UCI, OMS).
• Experience working closely with flight operators, pilots, or military stakeholders to gather feedback and refine user workflows.
• Active Secret or Top Secret clearance.

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 contested logistics (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 for a brand-new 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 the HivemindSDK — selectively leveraging existing 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'll lead a team of autonomy engineers tackling autonomy across Shield AI's emerging-domain efforts — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — writing code where it best serves the team, staying close to the integration work, making sound technical decisions, and leading them through the design, development, and delivery of efforts that may shift in shape, scope, and timeline. This role demands a problem solver who thrives in the unknown — you'll be standing up first autonomy on platforms that often don't have an established autopilot interface, mission autonomy, or operator base yet, and you'll be comfortable with priorities and deadlines that shift as programs mature. You'll partner closely with the platform teams that build each new piece of hardware (spacecraft, vessel, helicopter, etc.), the Autonomy Capabilities, Perception, and GCS teams, and customer/program offices on each effort. Success here means turning short-term R&D and integration efforts into longer-term programs that scale — with the growth opportunity, if desired, to lead the new portfolios that emerge from this work as they mature and graduate from emerging domains.

The Autonomous Pilot Integration team for expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these 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 (including VTOL transitions), 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 lead a team of autonomy engineers focused primarily on Hivemind on V-BAT, with growing scope on Hivemind on X-BAT — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — writing code where it best serves the team, staying close to the integration work, making sound technical decisions, and leading them through the design, development, and delivery of a major capability or program. A defining part of this role is working in extreme partnership with the aircraft team that builds and maintains V-BAT and X-BAT — the relationship and tight coordination with them is critical to your team's success. You'll also partner closely with the Autonomy Capabilities, Perception, and GCS teams, feature crews, customer/program offices, the operator community that flies V-BAT today, and prospective customers for X-BAT as the new platform matures. This portfolio has a strong fielded-operator culture — long-endurance ISR missions, customer-driven workflow iteration, and demanding live exercises across multiple U.S. and international services — and you'll set the pace for your team accordingly.

• Lead the Team — Manage a small-to-mid-sized engineering team (typically 3–8 engineers); own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals.
• Grow the Team via Hiring — Drive hiring for your area: identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates.
• Grow Engineers Technically — Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact.
• Develop & Field Autonomy — Develop & integrate autonomy software solutions onto launched effects platforms, including payload computer bring-up, autopilot integration (e.g., PX4, ArduPilot), multi-agent coordination, and fleet-scale deployment to disconnected or air-gapped environments — and lead a small team through the design, development, and delivery of a major capability or program.
• 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.
• Collaboration Across Teams & Partners — Act as a primary technical interface 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 (including embedded contractor engineers and U.S. or international government program offices); author and negotiate ICDs and interface contracts rather than just consume them.
• 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.
• Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems and fleet-scale deployments (often 50–150+ units in disconnected environments); coordinate hardware/software compatibility, mission readiness, and Capability Release (CR) cadence with capability and feature teams.
• On-site Test & Mission Support — Travel to test sites and customer exercises to support live mission operations (flight tests, range exercises, multi-agent live events, customer demonstrations), 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 — Own the interface contracts with C2 providers and drive compliance against common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT).
• Travel Requirement – Members of this team typically travel around 20-30% of the year (to different office locations, customer sites, range exercises, and integration events).

• 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.
• 2+ years of direct people-management experience (running 1:1s, performance reviews, hiring decisions, growth planning).
• Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers.
• Track record of mentoring engineers and growing their technical skill and career trajectory.
• Demonstrated experience leading a small technical team or owning a major capability from design through field delivery.
• Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders.
• Direct experience with launched effects, loitering munitions, expendable autonomous systems, or comparable small unmanned platforms.
• Experience with multi-agent, swarm, or fleet-scale autonomy.
• Strong 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, message buses).
• Hands-on experience supporting live exercises, customer demonstrations, or operational test events for launched effects or similar small unmanned 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.

• Direct experience with PX4 and/or ArduPilot at the platform integration level.
• Experience using and developing on QGroundControl (QGC) or other Qt-based ground control stations.
• Proficiency in Python for scripting, automation, and analysis.
• Experience leading a feature crew, sub-program, or small team in an unmanned systems context.
• Experience growing engineers from mid-level into senior IC, or supporting promotion decisions through a leveling framework.
• Experience with air-gapped, disconnected, or otherwise constrained deployment of autonomous systems at fleet scale.
• Familiarity with tactical edge C2 (e.g., TAK, CoT) and ground operator workflows.
• Experience working with embedded contractor engineers, FFRDC partners, or customer-funded staff augmentation models.
• Experience supporting international defense customer programs (FMS or direct commercial sales).
• Experience owning customer- or partner-facing technical relationships (e.g., autopilot vendors, C2 providers, government program offices).
• Track record of cross-team improvements (process, rigor, documentation, or developer experience).
• Familiarity with autonomy stacks, motion planning, or vehicle-control integration.
• Competence in avionics bring-up, payload computer integration, or hardware-in-the-loop debugging.
• Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.
• 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 common message and open-systems standards such as UCI, OMS, MOSA, or WOSA.

#LI-DM2

#LE

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.

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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. 

We are seeking a Weapons Systems Engineer to lead the integration, validation, and operational deployment of advanced weapon capabilities on X-Bat. This role directly impacts mission readiness, combat effectiveness, aircraft survivability, and program execution by ensuring weapon systems are successfully integrated, tested, and fielded to operational users.

The engineer will work across the full lifecycle from requirements development through flight test, helping reduce integration risk, accelerate capability delivery, and improve overall mission system performance.