Path Planning Engineer

Forterra • Clarksburg, MD

8h

About The Position

Forterra is a fast-growing company at the early stages of growth. We hire talented people with diverse backgrounds who are ready to help build a technology ecosystem that supports our defense and commercial partners.

This role is focused on bridging planning algorithms with real-world vehicle systems, ensuring that autonomy performs reliably under real-time, on-vehicle constraints. You will be part of a team tackling planning problems across diverse domains such as complex, unstructured off-road terrain, coordinated formation control, and semi-structured environments like logistics yards. Platforms range from small robotic vehicles to full-scale trucks.

In addition to algorithm development, this role requires deep involvement in on-vehicle integration, system bring-up, debugging, and performance validation in field environments. Members of our Behavior Generation team must be resourceful, hands-on, and capable of owning problems end-to-end—from design through deployment on physical systems.

Requirements

• BS, MS, or PhD in Robotics, Applied Mathematics, Mechanical Engineering, Computer Science, or related field
• Strong background in path planning, motion planning, or related autonomy domains
• Strong programming skills in C++
• Solid software engineering fundamentals: system design, unit/integration testing, debugging
• Experience deploying or integrating software on physical robotic or automotive platforms
• Ability to deliver production-quality software in a continuously integrated environment
• Demonstrates clean, maintainable code and documentation practices
• Strong problem-solving skills with a proactive, hands-on approach

Nice To Haves

• Prior experience with unmanned ground vehicles operating in outdoor environments
• Experience with on-vehicle debugging, telemetry analysis, and real-time system profiling
• Familiarity with robotics middleware (e.g., ROS/ROS2 or similar frameworks)
• Experience working across perception–planning–controls interfaces
• Expertise with GPU or ML toolkits such as CUDA, PyTorch, TensorFlow, and/or TensorRT

Responsibilities

• Develop real-time (deterministic, randomized, and optimization-based) path and motion planning algorithms for various vehicle types (Ackermann, skid-steered, wheeled, tracked) using C++ in a Linux environment
• Integrate planning algorithms with on-vehicle systems, including perception, localization, controls, and platform interfaces
• Deploy, test, and debug autonomy software directly on vehicles, addressing real-time constraints, system latency, and hardware limitations
• Design and implement messaging for synchronization, logging and debugging across distributed systems
• Own end-to-end validation: simulation → HIL → on-vehicle testing, ensuring consistency and performance across environments
• Diagnose and resolve issues observed in field testing, including edge cases arising from sensing, actuation, and environment variability
• Work closely with cross-functional teams (Perception, Controls, Platform, Systems Engineering) to ensure robust and reliable vehicle behavior
• Travel up to 20% to support on-site vehicle integration and testing

Benefits

• Premium Healthcare Benefits: Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.
• Basic Life/AD&D, short and long-term disability insurance plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents.
• Extremely generous company holiday calendar including a winter break in December.
• Competitive paid time off (PTO) offering 20 days accrued per year.
• A minimum of 7 weeks fully paid parental leave for birth/adoption.
• A $9k annual tuition reimbursement or professional development stipend.
• Fully stocked beverage refrigerators with all the Celsius your little heart desires.
• 401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level