Engineer III - Robotics Software

Job Area:

Denied Operations Division > GNSS-Denied

Domain:

Robotic Systems

The Impact You’ll Have

• Accelerate R&D Velocity: Transform experimental algorithms into hardened, production-grade software capable of operating in complex, GNSS-denied environments.
• Architect System Reliability: Define benchmarks for system stability and performance to ensure our platforms remain resilient under extreme mission stress.
• Drive Technical Consensus: Unify disparate cross-functional teams—from algorithmic researchers to field-integration specialists—around shared technical standards and roadmaps.
• Enable Mission Success: Ensure the software stack provides a reliable, repeatable foundation for deployment, significantly reducing field debugging cycles and system downtime.

About the Role

The ‘Engineer III – Robotics Software’ is a technical leadership role within the Denied Operations Division. Acting as a technical nexus, you will bridge the gap between R&D algorithms and mission-critical, field-ready software. This role is designed for an experienced engineer who seeks to move beyond standard implementation, taking full ownership of system performance, architectural integrity, and reliability in high-stakes operational environments.

Key Responsibilities

• Robotics Integration: Integrate Navigation, Sensor Fusion, GNC, and Vision R&D outputs into production-ready, deployable software packages.
• System Verification & Simulation: Maintain Gazebo/SITL simulation assets and develop comprehensive unit, component, and integration tests for CI/CD pipelines.
• Diagnostic Tooling & Analysis: Develop tools for log collection, synchronization, and visualization; analyze ROS bags and flight telemetry to diagnose system failures and edge cases.
• Architecture & Risk Management: Exercise engineering judgment on architectural trade-offs; proactively identify technical risks, configuration dependencies, and interface mismatches to ensure system robustness.
• Cross-Functional Collaboration: Partner with other sub-departments and verticals to provide evidence-based recommendations during integration blockers and field failure analysis.
• Operational Agility & Mission Support: Provide technical support during field deployments and testing campaigns, ensuring system readiness and rapid on-site troubleshooting. Maintain a holistic understanding of the full engineering stack by collaborating with Embedded, R&D, and DevOps teams to ensure operational continuity. During intervals between mission-critical cycles, self-directed R&D initiatives that advance our core GNSS-Denied capabilities will be pursued.

Minimum Qualifications

• Bachelor’s or Master’s degree in Robotics, Electronics, Electrical Engineering, Mechatronics, Computer Science, or Aerospace
• 4+ years (Bachelor’s) or 2+ years (Master’s) of industrial experience in robotics software engineering and integration affiliated to aerospace, UAVs, robotics, or complex embedded products; demonstrated ownership and technical depth are more important than a strict year count
• Solid grasp of robotics mathematics (linear algebra, probability, statistics) and sensor fusion fundamentals (EKF/UKF)
• Hands-on experience with UAVs, mobile robots, embedded computers, sensors, or comparable integrated systems
• Strong hands-on experience with ROS or ROS2, including packages, launch systems, messaging, and debugging
• Proficiency in C++ and Python in Linux-based robotics environments
• Experience with automated software testing, or log-based analysis of robotic systems
• Experience with robotics software development and testing in simulation environments, based on Unity, Unreal Engine, Issac Sim or Gazebo
• Proven experience with software development best practices (code reviews, version control, CI/CD, documentation) in a production environment
• Experience with Docker, CMake, colcon, catkin, and reproducible dependency management

Preferred Qualifications

• Domain Expertise: Experience with sensor fusion and state estimation, navigation and planning, guidance and control, multi-agent systems, OpenCV, camera models, calibration workflows, image-processing pipelines, optimal control, optimization (convex and nonlinear), or predictive control
• Embedded & Platform Knowledge: Experience with Raspberry Pi, NVIDIA Jetson, Arduino, other embedded/edge platforms, LiDAR, IMU, rangefinder, GNSS receiver…