About the Role
We're looking for a Software Engineer, Autonomy with software development experience in mobile robotics. As a robotics software engineer, you will be responsible for building the core perception, planning, and control systems running onboard each member of the largest drone swarm in the world. Candidates with backgrounds in perception systems and multi-target tracking will find immediate opportunities to deploy their algorithms to real world environments.
What You'll Do
- Develop swarming autonomy algorithms to safely perform a variety of missions across both small and large UxS.
- Build and maintain track correlation and multi-target tracking systems that will immediately get real world use.
- Define the inter-robot and C2 communication protocols required to enable tactical swarm decision making on the edge.
- Build the core on-vehicle software platform to allow integration of a variety of first and third-party sensors, payloads, and software modules.
- Create and validate physically realistic simulations of UxS.
- Train, tune, and test automatic target recognition and track management systems using the latest advancements in neural networks.
- Perform electronics prototyping including troubleshooting complex mixed hardware-software systems.
- Write clean, maintainable, and efficient code.
- Travel up to 25% of the time for onsite test and integration events.
Basic Qualifications
- Bachelor's Degree in Computer Science, Software Engineering, or related technical field.
- 3+ years building soft-real-time embedded systems.
- Deep expertise in at least one systems language (Golang, Rust, or C/C++).
- Proven experience deploying and validating robotics algorithms (Dubins planning, SLAM, Kalman filters, particle filters, A*, behavior trees, reinforcement learning, etc.).
- Working knowledge of embedded systems (SPI/I2C/serial protocols, logic analyzers, oscilloscopes, microcontroller programming).
- Strong networking fundamentals (NAT, mDNS, UDP/TCP, multicast, firewall configuration).
Preferred Qualifications
- Experience with perception systems, sensor fusion, or multi-target tracking (Kalman-based trackers, JPDA, MHT, or similar).
- Contributions to deployed robotics or IoT systems requiring complex edge processing (aerospace, autonomous vehicles, etc.).
- Experience with robotics middleware (DDS/ROS2, ZeroMQ, gRPC) and serialization formats (Protobuf).
- Familiarity with government UxS interoperability standards (OMS/UCI, STANAG 4586, FACE).
- Hands-on electronics skills (breadboarding, soldering, schematic interpretation, datasheet analysis).
- Deep learning experience.