The Planning team is responsible for making sure PlusAI’s trucks make the right decision in every driving situation, safely, smoothly, and predictably for other road users, even when working with noisy, uncertain, or incomplete information about the world. This is a cross-functional problem that requires close collaboration with Perception, Prediction, Controls, and Safety, and a willingness to work at the edge of research and production: bringing state-of-the-art decision-making and optimization techniques into a system that runs on real trucks, on real roads, today.
About the Role
As a Senior Software Engineer on the Motion Planning team, you’ll research, develop, and implement planning technologies that let PlusAI’s trucks handle complex, real-world driving scenarios in a safe and human-like manner. You’ll work across the full decision-making stack, from reasoning about what the truck should do to determining precisely how it should get there, while accounting for the many ways a scenario could unfold.
Responsibilities
- Design and implement algorithms for decision-making and trajectory generation, ensuring safety, comfort, and reliability across a wide range of driving conditions.
- Bring novel robotics and machine learning techniques from research into a production-grade, safety-critical system.
- Reason about complex, socially-nuanced driving situations, such as negotiating merges, junctions, and interactions with other road users, under uncertainty.
- Utilize modern C++ numerical optimization frameworks (e.g., CasADi, Acados) and industry-standard tooling (git, ROS, etc.) to integrate new planning algorithms into the production stack.
- Partner closely with the ML and prediction teams to integrate, refine, and act on probabilistic and multi-future representations of how a scenario might evolve, shaping how these outputs are consumed by planning decisions.
- Perform system-level diagnostics and tuning using in-house and open-source visualization tools (e.g., webviz).
- Collaborate cross-functionally and communicate clearly, producing system designs that are reviewed and approved at a high level before implementation begins.
Required skills
- MS with 1-2 years of relevant experience, or PhD, in Computer Science, Robotics, or a related field.
- Strong production software development skills in C++; Python experience a plus.
- Robotics expertise in one or more of: path planning, motion planning, trajectory generation, behavior planning, optimal control.
- Strong math (geometry, analysis, probability) and physics (kinematics, dynamics) fundamentals.
- Experience designing, implementing, and refining planning algorithms on a real-world robotic or vehicle platform.
- Strong oral and written communication skills, with the ability to collaborate across teams and derive solutions from cross-functional input
Preferred skills
- PhD + 1-2 years or MS + 3-4 years of relevant experience.
- Bonus: exposure to machine learning techniques such as deep learning, imitation learning, transformer-based models, or diffusion-based models, particularly as applied to decision-making or scenario generation.
- Familiarity with safety frameworks for autonomy (e.g., RSS, collision avoidance/MRM logic).
- Prior experience working on safety-critical systems.
Skills Required
- MS with 1–2 years of relevant experience, or PhD, in Computer Science, Robotics, or a related field
- Strong production software development skills in C++
- Robotics expertise in path planning, motion planning, trajectory generation, behavior planning, or optimal control
- Strong mathematics fundamentals, including geometry, analysis, and probability
- Strong physics fundamentals, including kinematics and dynamics
- Experience designing, implementing, and refining planning algorithms on a real-world robotic or vehicle platform
- Strong oral and written communication skills and ability to collaborate cross-functionally
- Python experience
- PhD with 1–2 years or MS with 3–4 years of relevant experience
- Exposure to machine learning techniques such as deep learning, imitation learning, transformer-based models, or diffusion-based models applied to decision-making or scenario generation
- Familiarity with autonomy safety frameworks such as RSS and collision avoidance or MRM logic
- Prior experience working on safety-critical systems
Plus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plus and has not been reviewed or approved by Plus.
-
Leave & Time Off Breadth — Unlimited PTO in addition to company holidays and flexible work arrangements are offered, indicating broad time-off flexibility. This setup signals strong support for taking time away from work.
-
Healthcare Strength — Tiered medical, dental, and vision options allow employees to select coverage that fits their needs. This breadth of core health coverage aligns with a comprehensive benefits approach.
-
Wellbeing & Lifestyle Benefits — Daily catered lunches at key offices and company-sponsored professional development add meaningful day-to-day and growth-oriented perks. These offerings enhance overall wellbeing and workplace experience.
Plus Insights
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai








