Field Applications Engineer (R4163) at Shield AI

Kyiv, Kyiv city, Ukraine

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, Aerospace, Autonomous SystemsIndustries

Requirements

BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience
Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
Proficiency with MAVLINK protocol, ardupilot variants and QGC
Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics
Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)
Hands-on experience supporting flight demos or live exercises

Responsibilities

System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces
Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness
On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints
Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments
Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements
Collaboration Across Teams — Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly
Continuous Improvement — Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles
Support Certification and Compliance — Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments
Travel Requirement – Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events)

Skills

Key technologies and capabilities for this role

Systems IntegrationAutonomy SoftwareUnmanned Aircraft SystemsSensorsControl InterfacesFlight TestingHardware ConfigurationSoftware ValidationTroubleshootingSystems Engineering

Questions & Answers

Common questions about this position

What is the travel requirement for this role?

Members of this team typically travel around 30-40% of the year.

What are the main responsibilities of a Field Applications Engineer at Shield AI?

Responsibilities include system integration and deployment of autonomy software onto unmanned aircraft, pre-flight preparation, on-site flight test support, hardware/software debugging, flight data capture and analysis, collaboration across teams, continuous improvement, and supporting certification and compliance.

What skills are needed to succeed in this position?

Success requires hands-on experience deploying autonomy solutions onto unmanned platforms, strong systems thinking, troubleshooting mission-critical issues in lab and field environments, and the ability to operate effectively in fast-paced, real-world test conditions.

How much collaboration is involved in this role?

The role involves close collaboration across teams, working with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.

What makes a strong candidate for this Field Applications Engineer role?

A strong candidate thrives on solving complex integration challenges spanning hardware, software, and systems engineering, with skills in deploying autonomy solutions, pre-flight preparation, and troubleshooting in dynamic lab and field environments.

Shield AI

Develops AI and autonomous systems for defense

About Shield AI

Shield AI specializes in creating artificial intelligence and autonomous systems specifically for the defense industry. The company develops AI-powered systems, including autonomous drones, that assist military operations, especially in environments where GPS and communication may not be available. This technology allows for safer and more efficient defense operations. Shield AI differentiates itself from competitors by focusing on advanced AI capabilities and securing significant contracts with government and military clients, such as the multi-billion dollar EWAAC contract. The company's goal is to enhance operational capabilities and safety in military contexts, ultimately aiming to protect lives through its innovative solutions.

San Diego, CaliforniaHeadquarters

2015Year Founded

$772.8MTotal Funding

DEBTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees

Benefits

Medical Insurance Coverage

Long Term Disability Insurance

Health Care FSA and Dependent Care FSA

Employee Assistance Program

Subsidized Gym Membership

Pet Insurance

Competitive Compensation

Retirement Services

Life Insurance

Parental Leave

Bereavement Support

Flexible Work Hours

PTO

Paid Holidays

Commuter Benefits

Relaxed Dress Code

Yearly Swag Items

Unlimited Snacks

Bottomless Beverages

Annual Celebrations

Work From Home Benefits

Standing Desks and Widescreen Monitors

Risks

Increased competition from companies like Waymo could divert investment from Shield AI.

Geopolitical tensions may challenge the JSW Defence partnership for V-BAT production in India.

Dependency on Palantir's infrastructure may limit Shield AI's operational flexibility.

Differentiation

Shield AI's Hivemind is the first autonomous AI pilot deployed in combat since 2018.

Strategic partnerships with Palantir and JSW Defence enhance technological capabilities and market reach.

Shield AI's V-BAT drone is selected for a $198 million U.S. Coast Guard contract.

Upsides

Increased demand for autonomous systems in defense boosts Shield AI's market potential.

Successful multi-aircraft autonomous flight tests showcase advanced AI piloting capabilities.

Significant investment in robotics indicates a robust market for Shield AI's offerings.

Land your dream remote job 3x faster with AI

Try Jobo Free