Software Engineer, Autonomy

Summary

The company is an aerospace and autonomy organization building autonomous aircraft and command-and-control software for coordinating fleets of heterogeneous autonomous systems. The Software Engineer, Autonomy will build production autonomy software involving sensor fusion, multi-target tracking, planning, perception, estimation, and control, while integrating and debugging systems with real robotic hardware and participating in field testing.

Responsibilities

• Build core autonomy software for coordinating heterogeneous autonomous aircraft and maritime systems
• Develop track correlation, sensor fusion, and multi-target tracking systems operating across multiple assets and sensors
• Build systems that allow multiple autonomous platforms to operate together rather than treating each vehicle as an isolated system
• Design and maintain foundational autonomy architecture, data models, and system interfaces as the platform scales
• Work across planning, estimation, filtering, state reasoning, perception, and control rather than operating within a narrowly defined specialty
• Integrate command-and-control software with third-party autonomous hardware
• Understand unfamiliar sensors, communication protocols, and vehicle behavior and translate them into reliable integrations
• Develop production robotics software using languages such as C/C++, Rust, and Golang
• Work with technologies including ROS2/DDS, Protobuf, gRPC, ZeroMQ, Kalman filtering, and sensor-fusion systems
• Debug autonomy software directly against physical hardware and real-world operating conditions
• Participate in field testing and validation events when necessary
• Help establish the technical foundation for an autonomy organization expected to grow substantially over the coming year

Skills

• 3–8 years of professional experience in **robotics or autonomy software engineering**
• Strong production programming experience with **C/C++, Rust, or Golang**
• Experience building autonomy software at a robotics startup, autonomous vehicle company, defense technology startup, or similarly hands-on engineering environment
• Strong systems-level robotics experience beyond pure perception or embedded development
• Hands-on experience with areas such as:
• Sensor fusion and state estimation
• Track correlation and multi-target tracking
• Planning and route planning
• Filtering and state reasoning
• Multi-agent or multi-robot coordination
• Experience controlling or coordinating **multiple autonomous assets simultaneously**
• Experience integrating software with real robotic hardware and debugging problems that only emerge in the field
• Strong understanding of how autonomy systems behave differently in production versus simulation
• BS or higher in Computer Science, Robotics, Mathematics, or a related technical discipline from a strong program
• Generalist engineering mindset and willingness to move across multiple autonomy problem areas
• Must reside in the contiguous United States
• Must be a **U.S. Person — U.S. citizen or green card holder — and eligible to obtain a U.S. government security clearance**
• Comfortable working on technology supporting defense and national-security applications
• Production experience with **track correlation or heterogeneous sensor fusion on fielded systems**
• Experience with swarming, multi-agent systems, or coordinating fleets of autonomous vehicles
• Experience at autonomy-focused companies such as Shield AI, Anduril, Skydio, Saronic, Saildrone, Zipline, Waymo, Nuro, Aurora, Zoox, Boston Dynamics, Gecko Robotics, or adjacent organizations
• Experience with UAVs, autonomous aircraft, maritime autonomy, or other complex field robotics
• Experience with **ROS2, DDS, Kalman filters, Protobuf, gRPC, or ZeroMQ**
• Experience making foundational architecture decisions for early-stage robotics systems
• PhD in robotics or autonomy with substantial hands-on systems work; highly relevant doctoral work can offset fewer years of industry experience
• Startup experience where engineers worked across hardware, software, and field deployment rather than within highly siloed teams
• Remote — Contiguous United States
• ~10–15% travel to HQ and test sites

Qualifications

Must Haves

• 3–8 years of professional experience in **robotics or autonomy software engineering**
• Strong production programming experience with **C/C++, Rust, or Golang**
• Experience building autonomy software at a robotics startup, autonomous vehicle company, defense technology startup, or similarly hands-on engineering environment
• Strong systems-level robotics experience beyond pure perception or embedded development
• Hands-on experience with areas such as:
• Sensor fusion and state estimation
• Track correlation and multi-target tracking
• Planning and route planning
• Filtering and state reasoning
• Multi-agent or multi-robot coordination
• Experience controlling or coordinating **multiple autonomous assets simultaneously**
• Experience integrating software with real robotic hardware and debugging problems that only emerge in the field
• Strong understanding of how autonomy systems behave differently in production versus simulation
• BS or higher in Computer Science, Robotics, Mathematics, or a related technical discipline from a strong program
• Generalist engineering mindset and willingness to move across multiple autonomy problem areas
• Must reside in the contiguous United States
• Must be a **U.S. Person — U.S. citizen or green card holder — and eligible to obtain a U.S. government security clearance**
• Comfortable working on technology supporting defense and national-security applications

Nice to Haves

• Production experience with **track correlation or heterogeneous sensor fusion on fielded systems**
• Experience with swarming, multi-agent systems, or coordinating fleets of autonomous vehicles
• Experience at autonomy-focused companies such as Shield AI, Anduril, Skydio, Saronic, Saildrone, Zipline, Waymo, Nuro, Aurora, Zoox, Boston Dynamics, Gecko Robotics, or adjacent organizations
• Experience with UAVs, autonomous aircraft, maritime autonomy, or other complex field robotics
• Experience with **ROS2, DDS, Kalman filters, Protobuf, gRPC, or ZeroMQ**
• Experience making foundational architecture decisions for early-stage robotics systems
• PhD in robotics or autonomy with substantial hands-on systems work; highly relevant doctoral work can offset fewer years of industry experience
• Startup experience where engineers worked across hardware, software, and field deployment rather than within highly siloed teams
• Remote — Contiguous United States
• ~10–15% travel to HQ and test sites

Benefits

• Competitive equity.
• Fully remote within the contiguous United States.
• Flexible U.S. timezone.