Senior Robotics Software Engineer
Waltham · Waltham, MA (WMA-01) · USD 191,000-253,000 · 8+ years experience · Full-time · Posted Sep 24, 2026
At a glance
- Experience
- 8+ years experience
- Employment
- Full-time
- Location
- Waltham · Waltham, MA (WMA-01)
- Salary
- USD 191,000-253,000 · Base salary
About the role
- Contribute hands-on to a small, collaborative team within the Command and Control Software organization, applying your growing expertise in path planning and route optimization.
- Prototype and help deploy state-of-the-art algorithms for global and local path planning, trajectory optimization, and multi-agent coordination within command and control systems.
- Help develop online (real-time) path planning capabilities that replan safely and efficiently as mission conditions, threats, and vehicle states change.
Responsibilities
- Contribute hands-on to a small, collaborative team within the Command and Control Software organization, applying your growing expertise in path planning and route optimization.
- Prototype and help deploy state-of-the-art algorithms for global and local path planning, trajectory optimization, and multi-agent coordination within command and control systems.
- Help develop online (real-time) path planning capabilities that replan safely and efficiently as mission conditions, threats, and vehicle states change.
- Design and develop high-performance software for real-time C2 systems deployed on operational platforms in the field, with a strong emphasis on asynchronous programming, concurrency, and reliable execution in resource-constrained environments.
- Implement robust planners, search algorithms, and decision-making systems that generate safe, feasible, and optimal routes in dynamic, uncertain, and contested environments.
- Analyze system performance using high-fidelity simulations, modeling tools, and statistical techniques to validate planner behavior across diverse mission scenarios.
- Support customer success by developing and implementing algorithms and software for mission-critical use cases, including collaborative autonomy, asset routing, and obstacle and threat avoidance.
- Integrate path planning technologies into the broader command and control software stack and development lifecycle, from requirements definition through testing and optimization.
- Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues, operators, and end-users.
Requirements
- 8+ years of experience in algorithm design, software development, and mathematical modeling with programming expertise in C/C++ and/or Rust.
- Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling-based planners (RRT, RRT*, PRM), and online/real-time replanning approaches.
- Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization and trajectory prediction; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness.
- Solid understanding of applied mathematics, including linear algebra, optimization, computational geometry, and graph theory.
- Knowledge of vehicle dynamics, kinematic constraints, and control theory as applied to autonomous ground, air, or maritime platforms tasked through C2 systems, including high-speed aerial vehicles.
- Familiarity with map representations, terrain reasoning, state estimation, and the efficient handling of large-scale geospatial and environmental data within distributed C2 architectures.
- Exposure to machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction.
- Ability to write robust, concurrent code for planning under uncertainty and operation in complex, dynamic, contested environments.
- Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems.
- Eligible to obtain and maintain an active U.S. Secret security clearance.
Preferred qualifications
- Experience with Rust for high-performance, safety-critical software.
- Exposure to mixed greenfield/brownfield codebases, including extending an existing planning/routing stack in production.
Skills
- C/C++
- Rust
- A*
- D* Lite
- RRT
- RRT*
- PRM
- 6-DoF Simulation
- Linear Algebra
- Optimization
- Computational Geometry
- Graph Theory
Show all 15 skills
- Control Theory
- Machine Learning
- Reinforcement Learning
