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Senior Software Engineer, Motion Planning

gatikaiinc · Santa Clara, CA · Santa Clara, California, United States
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<h3><span style="font-family: 'times new roman', times, serif;">Who we are</span></h3> <p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation. </span></p> <p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;">The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations. </span></p> <h3><span style="font-family: 'times new roman', times, serif;">About the role</span></h3> <div> <div> <p><span style="font-family: 'times new roman', times, serif;">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. </span></p> </div> <div><span style="font-family: 'times new roman', times, serif;">This role is onsite 5 days a week at our Santa Clara, CA office!</span></div> </div> <div> <h3 class="section page-centered"><span style="font-family: 'times new roman', times, serif;"><strong>What you'll do</strong></span></h3> <div class="section page-centered"> <ul> <li style="font-family: 'times new roman', times, serif; text-align: left;">Design, implement, and optimize the motion planning stack for autonomous vehicles, enabling safe, comfortable, and efficient driving in diverse real-world environments.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Develop lattice-based planners, sampling-based planners, and optimization-based methods for generating dynamically feasible, collision-free trajectories.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Integrate constraints from perception, prediction, and control to generate context-aware motion plans under uncertainty.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Collaborate cross-functionally with behavior planning, control, and mapping teams to ensure robust and consistent planning behavior.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Optimize and maintain C++-based infrastructure for trajectory generation, evaluation, and deployment in real-time onboard systems.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Analyze closed-loop simulation and on-road performance; identify and resolve failure cases involving traffic interactions, occlusions, or dynamic obstacles.</li> </ul> </div> <h3 class="section page-centered"><span style="font-family: 'times new roman', times, serif;"><strong>What we're looking for</strong></span></h3> <div class="section page-centered" data-qa="closing-description"> <ul> <li style="font-family: 'times new roman', times, serif; text-align: left;">Ph.D. with 3+ years or Master’s with 5+ years of experience in robotics, motion planning, or autonomous systems.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Deep expertise in at least two of the following: lattice-based planning, trajectory optimization, model predictive control, or search-based planning.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Strong proficiency in C++, with experience in production-quality code for real-time or safety-critical systems.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Solid understanding of vehicle dynamics, control interfaces, and motion feasibility constraints.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Experience with simulation tools and debugging motion planner behavior in realistic driving environments.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Knowledge of diffusion models and/or Vision-Language-Action (VLA) models is a strong plus.</li> <li style="font-family: 'times new roman', times, serif; text-align: left;">Excellent analytical and system-level debugging skills; strong communication and cross-functional collaboration capabilities.</li> </ul> <p><span style="font-family: 'times new roman', times, serif;">Salary Range - $180,000- $260,000</span></p> <h3 style="text-align: left;"><span

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