Senior/Staff Software Engineer, Motion Planning

About the role

We are seeking senior or staff software engineers to join our planning team to build motion planning and decision-making systems and help mature new products all the way through to production. Our planning team calculates safe paths for the autonomous vehicle to follow using mapping data, localization data, waypoints, and predicted actors around the vehicle. Your contribution will improve planning for emergency situations and planning for complicated maneuvers such as loading dock access and variable lane changes.

What you'll do

• Design, implement, and optimize the motion planning stack for autonomous vehicles, enabling safe, comfortable, and efficient driving in diverse real-world environments.
• Develop lattice-based planners, sampling-based planners, and optimization-based methods for generating dynamically feasible, collision-free trajectories.
• Integrate constraints from perception, prediction, and control to generate context-aware motion plans under uncertainty.
• Collaborate cross-functionally with behavior planning, control, and mapping teams to ensure robust and consistent planning behavior.
• Optimize and maintain C++-based infrastructure for trajectory generation, evaluation, and deployment in real-time onboard systems.
• Analyze closed-loop simulation and on-road performance; identify and resolve failure cases involving traffic interactions, occlusions, or dynamic obstacles.

What we're looking for

• Ph.D. with 3+ years or Master’s with 5+ years of experience in robotics, motion planning, or autonomous systems.
• Deep expertise in at least two of the following: lattice-based planning, trajectory optimization, model predictive control, or search-based planning.
• Strong proficiency in C++, with experience in production-quality code for real-time or safety-critical systems.
• Solid understanding of vehicle dynamics, control interfaces, and motion feasibility constraints.
• Experience with simulation tools and debugging motion planner behavior in realistic driving environments.
• Knowledge of diffusion models and/or Vision-Language-Action (VLA) models is a strong plus.
• Excellent analytical and system-level debugging skills; strong communication and cross-functional collaboration capabilities.

Salary Range

$180,000- $260,000

More about Gatik

Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.

Notable News

• Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million
• Forbes: Hundreds’ Of Gatik Robot Delivery Trucks Headed For U.S. Roads
• Forbes: Gatik And Loblaw Announce Largest Commercial Deployment Of AV Trucks
• Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs
• Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry
• Business Wire: Gatik Paves the Way for Safe Driverless Operations (‘Freight-Only’) at Scale with Industry-First Third-Party Safety Assessment Framework
• Automatic Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS
• Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning
• Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services
• Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes
• Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny

Creating a Diverse and Inclusive Environment

We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.