Field Software Engineer
Job Description
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About the Role
As a Field Software Engineer, you'll bridge the gap between engineering and operations, deploying HavocAI's autonomous systems where they matter most.
This is not a traditional field support role. You will be an engineer embedded with our customers—deploying software, integrating systems, solving technical problems in real time, and writing code to keep missions moving.
You'll work alongside autonomy engineers, software developers, hardware engineers, operators, and government customers to ensure HavocAI systems perform reliably during testing, demonstrations, and operational deployments.
Success in this role requires someone who enjoys building as much as troubleshooting. You'll be expected to understand the software deeply enough to modify it in the field, rapidly implement fixes when needed, and know when to engage the broader engineering team.
If you enjoy seeing your code leave the lab and operate on autonomous vehicles in challenging environments, you'll fit right in.
What You'll Do
- Deploy, configure, and operate HavocAI autonomous systems during customer demonstrations, exercises, and operational events.
- Travel to customer sites to support field testing, integrations, and mission deployments.
- Develop and modify software directly in the field to solve mission-critical problems.
- Integrate HavocAI systems with customer platforms, communications systems, sensors, and partner technologies.
- Diagnose and resolve software, networking, hardware interface, and system integration issues under real operational conditions.
- Analyze logs, telemetry, and system performance to identify root causes and validate fixes.
- Collaborate closely with software, autonomy, hardware, product, and program teams to improve system reliability.
- Build internal tools, deployment automation, documentation, and workflows that improve operational efficiency.
- Train operators and support customer acceptance, onboarding, and technical demonstrations.
- Capture lessons learned from field operations and translate them into product improvements.
- Serve as a trusted technical advisor to customers, partners, and government stakeholders during deployments.
What We're Looking For
- Bachelor's degree in Computer Science, Engineering, Robotics, Systems Engineering, Information Technology, or a related technical field, or equivalent practical experience.
- 1+ years of experience in software engineering, systems engineering, robotics, DevOps, systems integration, field engineering, or related technical disciplines.
- Strong Linux experience and confidence troubleshooting using command-line tools, logs, and telemetry.
- Experience programming in at least one modern language such as C++, Python, Go, or TypeScript.
- Familiarity with networking fundamentals, APIs, containerized applications, or distributed systems.
- Comfortable working across software, hardware, networking, and operations.
- Excellent communication skills with the ability to work directly with engineers, operators, customers, and government stakeholders.
- Ability to travel extensively throughout the continental United States.
- High ownership, sound judgment, and the ability to perform effectively in dynamic, fast-moving environments.
- Passion for autonomy, robotics, distributed systems, or defense technology.
- U.S. Citizenship with the ability to obtain and maintain a U.S. security clearance.
- Ability to travel 50-75% of the time.
Preferred Qualifications
- Experience with autonomous systems, robotics, unmanned vehicles, or maritime platforms.
- Experience supporting customer deployments, operational exercises, or field testing.
- Experience with ROS2, DDS, Docker, Kubernetes, or modern containerized software.
- Experience with PX4, ArduPilot, or related autonomy frameworks.
- Experience integrating communications systems, tactical networks, or command and control software.
- Familiarity with CAN, UART, Ethernet, serial protocols, or embedded hardware interfaces.
- Experience with edge computing, radios, GNSS/INS, cameras, radar, lidar, or robotic sensors.
- Experience building developer tools, deployment automation, dashboards, or operational workflows.
- Experience supporting DoD, government, aerospace, maritime, or dual-use technology programs.
- Active U.S. security clearance.
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Havoc AI
View Company ProfileHavoc AI (operating under havocai.com, legally HavocAI, Inc.) is the premier, enterprise-grade all-domain collaborative autonomy platform, defense technology pioneer, and automated uncrewed systems orchestration powerhouse engineered to act as the definitive, high-velocity command-and-control (C2), edge intelligence, and distributed fleet coordination layer for modern military operations, contested logistics networks, and maritime security ecosystems globally. Founded by former military veterans and defense tech visionaries including Paul Lwin (a former U.S. Naval Flight Officer and aerospace engineer) alongside Timothy Rhatigan and Andrew Gregg, the company completely eliminates the severe systemic friction of modern autonomous operations—where defense systems rely on isolated, single-asset control paradigms, suffer from low-signal communications over degraded networks, and require extensive manpower to supervise minimal uncrewed arrays—by deploying a sophisticated, multi-domain software operating matrix. Moving far beyond traditional, passive remote-control frameworks or isolated hardware drones, Havoc natively unifies a centralized "one-to-many" control layer (Havoc C2), an advanced edge intelligence optimization system (Havoc Insights), an interactive peer-to-peer data synchronization network (Havoc Connect) that holds operational stability across denied and communications-degraded (DDIL) environments, and a production-hardened edge operating system (Havoc OS) into a single high-availability all-domain intelligence workspace. Validated through more than 25,000 hours of autonomous real-world deployments and commanding over 100 fielded autonomous surface vessels (USVs) supporting critical U.S. Department of Defense (DoD) missions, the platform empowers a single warfighter to supervise thousands of heterogeneous autonomous assets across land, sea, and air simultaneously. Rapidly consolidating its all-domain vision, the high-growth enterprise has expanded its operational footprint through the strategic technical acquisitions of Mavrik and Teleo to cleanly bridge the gap between low-level edge hardware automation and high-level mission intent. Valued as an elite rising star in the defense technology landscape with a post-money valuation scaling past $900 million, the corporation has raised over $200 million in total institutional financing—anchored by a monumental $100 million Series A funding matrix in May 2026 led by prominent asset managers including Boardman Bay Capital Management and Cobalt Capital, alongside significant heavy-tier backing from In-Q-Tel, B Capital, Scout Ventures, Outlander VC, SAIC, and defense titan Lockheed Martin. Under the hood, its technology core utilizes sophisticated sensor-fusion and tracking frameworks, distributed peer-to-peer tactical mesh protocols, and strict "human-on-the-loop" gating boundaries designed to maximize wide-area situational awareness and execution velocity without sacrificing operational safety or mission control. What sets Havoc AI apart is its uncompromising dedication to replacing fragile, siloed uncrewed vehicles with absolute real-world collaborative coordination predictability, hardware-agnostic software flexibility, and hardened battlefield resilience; by combining tactical edge computing with enterprise-tier data integration, the company remains a definitive cornerstone of modern algorithmic defense architecture and global military systems transformation.
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