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

What you'll do:

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

Projects you might work on:

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. 

Required qualifications:

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. 

Preferred qualifications:

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.