Staff Software Engineer, Autonomy Capabilities - Space
The Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.
This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.
Senior Software Engineer, Autonomy Capabilities - Space
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-BAT aircraft, 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 Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios. This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space). The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts.
This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.
Focusing on the space portfolio, you’ll be creating autonomy capabilities for satellites and missile defense applications that span large-scale distributed optimization, automated tasking and scheduling, track fusion, RPO operations, and space vehicle motion/behavior planning. In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms. You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs. In many cases, the capabilities you will develop are at the cutting-edge and so demonstrating the ability to operate in grey space and at the intersection of the state-of-the-now and the state-of-the-possible is both exciting and crucial.
\nAs a Senior Software Engineer, you’ll build and own autonomy behaviors that directly power our products, taking responsibility for key components from design through deployment. You’ll work across teams to turn complex mission needs into reliable, scalable software, balancing near-term delivery with long-term maintainability and performance. In this role, you’ll play a critical part in shaping how autonomy capabilities are designed, integrated, and evolved across our platforms.
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Multi-Objective Optimization – Use advanced optimization strategies to perform large-scale distributed decision making, task allocation, and resource scheduling in multi-satellite coordinated missions
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Weapons Target Assignment – Employ cutting edge approaches for weapons target assignment and motion planning for fleets of space vehicles and interceptors that have critical roles in our national defense
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Advance the State of the Art – Pioneer advanced topics in low-SWaP optimal control, tactical behavior management in cooperative and adversarial contexts, and information-aware planning
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Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions
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Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms
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Deployment & Test Support – Deploy autonomy capabilities to real space vehicles, supporting analysis of mission logs to verify software performance and validate system operational effect
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R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission
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Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).
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Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
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Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making
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Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically)
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Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation
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Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
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Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
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Ability to obtain a SECRET clearance or higher
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Experience in multiple aerospace domains (e.g., air, land, sea, space)
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Experience across a breadth of methodologies from classical control through optimization and applied ML/RL
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Background in collaborative behaviors and swarm robotics
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Familiarity with domain-relevant DoD or government programs
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Hands-on experience supporting integration events, customer demos, and/or live exercises
#LC
#LI-ED1
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.
Staff Quality Engineer (R5512)
Forward Deployed Engineer, Operations & Sustainment (R5497)
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-BAT aircraft, 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.
Job Description:
Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific.
The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment.
This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require.
In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback.
\n- Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products.
- Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows.
- Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps.
- Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows.
- Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints.
- Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop.
- Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback.
- Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds.
- Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture.
- Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows.
- Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material.
- Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop.
- Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints.
- Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems.
- Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience.
- 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role.
- Strong technical background in software engineering, systems integration, or autonomy-adjacent systems.
- Proficiency writing, reading, and debugging modern C++ code.
- Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows.
- Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows.
- Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments.
- Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on.
- Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments.
- Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure.
- Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements.
- Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments.
- Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments.
- Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout.
- Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments.
- Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation.
- FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience.
- Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation.
- Active or prior security clearance, or eligibility to obtain one when required by program or customer need.
#LI-KC3
#LD
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.
Senior Engineer, Network (R5488)
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-BAT aircraft, 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.
Job Description:
As a Senior Software Engineer (Networking & OS) on V-BAT, you will be instrumental in designing, implementing, and optimizing the network infrastructure for our Unmanned Aerial System (UAS) which is deployed in some of the most challenging environments worldwide. V-BAT is designed to operate in contested, GNSS-denied airspace, and our network must maintain highly reliable, secure, and efficient communication between all air and ground devices.
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Design and build custom, resilient Layer 2 / Layer 3 network topologies optimized specifically for V-BAT mission profiles, focusing on device isolation, dynamic traffic management, and transmitting traffic across multiple links.
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Implement networking features directly on embedded Linux operating systems, including custom routing, TUN/TAP interfaces, user-space tunnels, and socket-level applications.
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Work backward from operator capabilities to build bandwidth-optimized, low-latency communication paths over lossy or constrained radio and satellite links.
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Write clean, production-grade C, C++, or Python code to build things like software-defined network interfaces, traffic shaping policies, and link failover mechanisms.
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Partner with software engineers, hardware engineers, and field operators to validate end-to-end network performance in both hardware-in-the-loop (HIL) labs and flight test environments.
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Bachelor’s degree with 5+ years of relevant experience, or Master’s with 4+ years, or PhD with 2+ years.
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Strong proficiency writing software in C, C++, or Python in a Linux environment, with a track record of shipping software that interacts directly with the OS networking stack.
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Deep understanding of Linux networking fundamentals (netlink, IP route/tables, iptables/nftables, TUN/TAP interfaces, Linux network namespaces, and socket programming).
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Solid grasp of Layer 2 and Layer 3 network fundamentals, custom routing protocols, VLAN tagging, QoS/traffic management, and VPN/tunneling mechanisms (e.g., OpenVPN, GRE, IPsec, or custom user-space tunnels).
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Practical experience troubleshooting network degradation using low-level tools (e.g., tcpdump, wireshark, iproute2, iperf) in lossy, high-latency, or bandwidth-constrained environments.
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Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.
- Ability to obtain security clearance.
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Experience developing embedded Linux networking applications using build systems like Yocto or OS-level customization tools.
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Experience working with RF and other hardware engineers to design network protocols and topologies which are tailored for a novel radio network design.
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Experience architecting network solutions for robotics, autonomous vehicles, aerospace, or edge computing hardware.
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Familiarity with network security, public key infrastructure (PKI), and cryptographic tunnels in embedded systems.
#LI-AA1
#LC
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.
Staff Engineer, Mechanical (R5482)
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-BAT aircraft, 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.
Job Description:
We are seeking a Staff Mechanical Engineer who can lead complex hardware efforts from concept through deployment. This individual will own mechanical design while integrating electronics, RF systems, and composite structures into cohesive, field-ready platforms. You should be comfortable operating as a technical lead and driving cross-functional execution.
\n- Lead mechanical design and integration for airborne or ruggedized systems, from concept through production.
- Own system-level packaging of electronics, including radios, antennas, PCBAs, and harnessing.
- Design and integrate components into composite and metallic structures.
- Drive cross-functional collaboration across electrical, RF, manufacturing, and test teams.
- Serve as project lead on select programs, managing scope, schedule, and technical execution.
- Perform and guide analyses including structural, thermal, and environmental considerations.
- Create and review CAD models, drawings, and release packages for production.
- Support prototype builds, integration, and troubleshooting in lab and field environments.
- Ensure designs meet reliability, manufacturability, and performance requirements.
- Bachelor’s degree in Mechanical Engineering or related field.
- 8+ years of experience in mechanical design and product development.
- Strong experience with CAD (e.g., NX, SolidWorks, Creo).
- Proven ability to take products from concept to production.
- Experience working in cross-functional engineering environments.
- Demonstrated ownership of projects or subsystems with minimal oversight.
- Experience integrating electronics into mechanical systems, including:
- Radios, antennas, and RF components.
- PCBAs and embedded electronics.
- Familiarity with wiring and cable systems, including coax, RF cables, and harness design (e.g., RG-series, RMA considerations).
- Experience designing for composite structures and hybrid assemblies (composite + metal).
- Understanding of thermal management for electronics (heat dissipation, airflow, conduction paths).
- Knowledge of grounding, shielding, and EMI/EMC considerations.
- Experience with ground support equipment (GSE) design or test infrastructure.
- Familiarity with environmental requirements (vibration, shock, temperature, ingress).
- Experience working closely with RF or electrical engineering teams on system integration.
- Hands-on build, integration, and troubleshooting experience.
- Act as a technical lead for projects or subsystems.
- Drive design reviews and decision-making.
- Mentor junior engineers and elevate team capability.
- Balance speed and rigor in a fast-paced development environment.
#LI-MS1
#LD
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.
Senior Engineer, Architecture and Infrastructure Test (R5485)
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-BAT aircraft, 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.
Job Description:
At Shield AI, we are revolutionizing defense technology to protect service members and civilians with intelligent, autonomous systems. Our Lab Architecture and Infrastructure Test Engineering team plays a critical role in ensuring the X-BAT remains the most reliable, mission-ready UAV in the industry. We design cutting-edge test solutions—custom-built electrical and mechanical systems that push our hardware to its limits in real-world and extreme environments.
As a Senior Architecture and Infrastructure Test Engineer on our Test team, you will own the design and development of test systems that push our hardware to its limits. From designing custom PCBs and automated test sequences to developing electrical and mechanical test stands, you’ll be at the forefront of ensuring the highest reliability in aerospace hardware. This is a high-impact role where your expertise in Lab Architecture, Infrastructure, power electronics, RF, communications, and automation will help shape the future of intelligent defense systems.
\n- Design, validate, and deploy advanced test systems for X-BAT’s critical components and subsystems.
- Architect PCBs and test interfaces for power electronics, RF, and communication systems.
- Develop automated test sequences in Python, ensuring scalability, efficiency, and repeatability.
- Design and integrate custom test fixtures, including relays, PLCs, PCBAs, and harnessing.
- Own and drive cross-functional design reviews, advocating for design-for-testability (DFT) improvements.
- Work hands-on with HASS, ESS, and HALT testing, validating performance in simulated harsh environments.
- Be a technical mentor, guiding junior engineers and contributing to Shield AI’s growing expertise in hardware test engineering.
- Other duties as assigned.
- B.S. in Electrical Engineering or related STEM field.
- 3+ years of industry experience in hardware design and test engineering (or equivalent experience with advanced degrees).
- Deep expertise in electrical design, mechanical, and software engineering principles as applied to hardware test systems.
- Proven ability to design, implement, and validate multidisciplinary hardware systems in a fast-paced, high-stakes environment.
- Track record of ownership—driving projects from concept to execution, delivering exceptional results.
- A team-first mindset, with high standards for yourself and others, and a passion for solving complex technical challenges.
- Track record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
- US Citizenship required due to security clearance requirements.
- Proficiency in Python or another scripting language for test automation.
- Hands-on experience with PCB design tools (Altium, KiCAD, Eagle) and CAD software (SolidWorks, NX, CATIA).
- Experience working in rugged, high-reliability industries like aerospace, defense, or automotive.
- Strong problem-solving skills with the ability to pivot quickly in dynamic, evolving environments.
- Active Top Secret clearance or eligible to achieve
#LI-AD6
#LD
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.
Staff Quality Engineer (R5512)
Job Description:
We are currently seeking a highly motivated Quality Engineer to support production operations for advanced unmanned aircraft systems. This role serves as the primary quality engineering resource for one or more manufacturing areas, partnering closely with Production, Manufacturing Engineering, Supply Chain, and Design Engineering to ensure products consistently meet customer, regulatory, and company quality requirements.
The ideal candidate is a hands-on problem solver with strong analytical skills and a passion for building robust manufacturing processes. This individual will lead root cause investigations, improve production quality, reduce defects and rework, support Material Review Board (MRB) activities, and drive continuous improvement initiatives that increase first-pass yield and manufacturing efficiency.
Forward Deployed Engineer, Operations & Sustainment (R5497)
Job Description:
Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific.
The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment.
This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require.
In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback.
Senior Engineer, Network (R5488)
Job Description:
As a V-BAT Network Engineer, you will be instrumental in designing, implementing, and optimizing the network infrastructure for our Unmanned Aerial System (UAS) which is deployed in some of the most challenging environments worldwide. V-BAT is designed to operate in contested, GNSS-denied airspace, and our network must maintain highly reliable, secure, and efficient communication between all air and ground devices.
The full posting opens here — pay, setting and the full description, without leaving the list.