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Swarmer

AI-driven mission control for drone swarms

Field Integration Technician

Equipment Field ServiceConfirmed live in the last 24 hours
Full-timeAberdeen, NC, USANo salary listed

About the Job

Requirements

  • Proven experience with unmanned systems design, build, integration, and deployment.
  • Proficiency in configuring and tuning flight controllers such as ArduPilot and PX4.
  • Strong programming skills focused on automation, control systems, and embedded development.
  • Hands-on experience with MAVLink in real-world applications.
  • Familiarity with radio-frequency communications, telemetry systems, and sensor integration.
  • Strong understanding of embedded Linux systems and deployment processes.
  • Proficiency in network systems configuration, routing, and diagnostics across Ethernet, Wi-Fi, and telemetry links.
  • Strong understanding of Linux networking, including netplan, iptables, systemd-networkd, and command-line administration.
  • Experience with virtual private networks, firewalls, and secure remote access for unmanned and distributed systems.
  • Deep understanding of unmanned aerial vehicle hardware ecosystems, including flight controllers such as ArduPilot and PX4, sensors such as inertial measurement units, GPS, and cameras, and communication systems.
  • Experience working with microcontrollers, systems-on-chip, and platforms such as Raspberry Pi or similar.
  • Familiarity with hardware interfaces such as I2C, SPI, UART, and GPIO.
  • Solid understanding of hardware-software integration in resource-constrained environments.
  • Practical experience in radio-frequency engineering and Internet of Things communication protocols is preferred over formal education; both are a plus.
  • Experience configuring and troubleshooting IP networks for unmanned aerial systems, including Ethernet, CAN, UDP, and MAVLink over IP.
  • Willingness to travel and support field demonstrations, expected at 40%.

Responsibilities

  • Deploy, configure, and troubleshoot unmanned systems in field operations, including aerial, ground, and nautical platforms.
  • Perform real-time system software integration and modifications using platforms such as Betaflight, ArduPilot, and other open-source or proprietary flight control systems.
  • Lead diagnostic and troubleshooting efforts for hardware, firmware, and software in field environments, ensuring rapid resolution and minimal downtime.
  • Collaborate with engineering teams to validate system performance and implement field-driven improvements.
  • Write and modify scripts and software in Python and C++ to support mission-specific automation and control.
  • Integrate automation algorithms and protocols into live systems, ensuring robust performance in complex environments.
  • Implement and troubleshoot MAVLink communication protocols for telemetry, command, and control of unmanned systems.
  • Maintain detailed documentation of field activities, system configurations, and integration outcomes.

Desired Qualifications

  • Unmanned systems, robotics, or multi-agent coordination systems.
  • A background in electrical engineering, mechanical engineering, or computer science; a degree is not required, and equivalent field experience is preferred.

About the Company

Swarmer

AI-driven mission control for drone swarms

Swarmer provides an AI-based autonomy operating system for drone swarms, delivered as a B2B SaaS that lets a single operator manage many drones. The operator sets high-level goals and go/no-go approvals while the AI handles the coordination across the swarm, with support from Trident OS for secure data/video streaming, MINAS for multi-drone autonomy, and STYX for cross-unit command and control in GPS-denied or jammed environments. It is vendor-agnostic and designed for large-scale missions, differentiating itself by enabling one-to-many control with transparent, dependable AI that emphasizes safety and explainability, instead of tying customers to a single drone vendor. Swarmer aims to shift the paradigm from one human per drone to one human per swarm, delivering scalable, ethically guided drone orchestration suitable for defense, logistics, infrastructure, and emergency response.

Company size
51-200
Company stage
IPO
Headquarters
Austin, TX
Founded
2023

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