Staff Software Engineer, Autonomy - Behavior and Motion Planning (R6007)

The Pilot team develops the algorithms and production software that enable intelligent systems to decide what to do and how to do it in uncertain, dynamic environments. Our work spans mission and task planning, motion planning, effects and action planning, and learned planning approaches. Depending on the team, you may work at the intersection of artificial intelligence, robotics, optimization, and real-time autonomous systems.

As a member of Behavior and Motion planning team, you will leverage your expertise in robotics to develop, deploy, and optimize path planning algorithms for autonomous systems that operate in complex, real-world environments. You will collaborate with cross-functional teams to deliver robust, scalable solutions that advance the state of Hivemind SDK. You will also contribute to developing technical requirements, test plans, and validating the performance of algorithms.

We are hiring software engineers across multiple experience levels. The scope of the role will be calibrated to the candidate's experience, from implementing and validating well-defined planning components to owning major technical capabilities, shaping architecture and roadmaps, and mentoring other engineers.

Research, design, and implement state-of-the-art algorithms for autonomous trajectory planning and control for single and multi-agent systems

Build reliable, robust, and maintainable software, primarily in modern C++, with Python used for prototyping, analysis, automation, and testing.

Develop comprehensive tests and evaluate planning stack performance in simulation and, where applicable, on real hardware.

Diagnose complex algorithmic and software failures, including concurrency, performance, and integration issues.

Collaborate with teams across the organization to refine requirements and deliver capabilities that meet operational needs.

Contribute to the design and architecture of scalable, maintainable autonomy and software architecture

Develop analysis tools to allow for rapid iteration

Take new product features from ideation to verification, to flight testing, and all the way to maturation

Mentor and provide technical guidance to junior engineers

Stay current with the latest advancements in robotics, and apply them to solve challenging problems

Motion planning that produces safe, dynamically feasible behavior under real-world constraints.

Collaborative and distributed motion planning for multi-agent scenarios.

Incorporating various types of motion and dynamics models into the planning stack.

Write software that allows the customer to interact with payloads safely.

Planning approaches that incorporate vision-language models (VLMs), vision-language-action models (VLAs), or other learned components.

Validate the planning stack using software-, hardware-, and vehicle-in-the-loop simulation of complex autonomous missions.

Master's degree in computer science, Robotics, or a related field and 5+ years of relevant professional experience or PhD with 4+ years of relevant experience.

Demonstrated experience through professional work, internships, research, or substantial projects building, testing, and debugging nontrivial C++ software for motion planning, robotics, autonomous systems, or a closely related algorithmic domain.

Experience writing and debugging modern C++, including safe use of common concurrency patterns and the ability to diagnose issues such as data races, deadlocks, and lifetime errors.

Working experience with Python for prototyping, analysis, automation, or testing.

Strong software engineering fundamentals, including algorithms, data structures, testing, debugging, version control, CI/CD, and maintainable software design.

Practical experience developing and debugging software on Linux.

Ability to communicate technical decisions and collaborate effectively across disciplines.

Experience with motion planning for any platform (aerial, maritime, space, or ground), working on decentralized or distributed planning for multi-agent systems, or trajectory optimization.

Experience applying VLMs or VLAs to motion planning in safety critical systems.

Experience delivering software for fielded, real-time, safety-critical, or resource-constrained autonomous systems.

Experience with software-in-the-loop or hardware-in-the-loop simulation, performance profiling, or distributed systems.

Evidence of relevant technical depth through fielded systems, applied research, publications, open-source contributions, or robotics and autonomy competitions.