--- title: 'Autonomous Motion Planning & Control Engineer - Logistics AGF Team at TELEXISTENCE Inc.' canonical: 'https://feeny.ai/job/autonomous-motion-planning-control-engineer-logistics-agf-team-telexistence-inc-aebyhbks0pet' type: 'job' last_seen: '2026-10-15' --- # Autonomous Motion Planning & Control Engineer - Logistics AGF Team at TELEXISTENCE Inc. - **Company:** TELEXISTENCE Inc. - **Location:** Tokyo, Japan - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-30 - **Last confirmed live:** 2026-10-15 - **Apply:** https://jobs.lever.co/tx-inc.com/c1e10082-c632-4210-8239-a4ed994caaeb ## Job description We are looking for a Motion Planning / Navigation Engineer to develop and deploy the algorithms that enable autonomous guided forklifts to plan, navigate, and move safely and accurately in real-world environments. The ideal candidate has strong hands-on experience in path/motion planning, trajectory generation, trajectory tracking, and advanced control, with proven experience implementing and deploying MPC or equivalent controllers on real robots. Experience with forklifts, AMRs, AGVs, autonomous vehicles, or warehouse robots is highly desirable. ## Key Responsibilities - Design, implement, and deploy global/local path planning and motion planning algorithms. - Develop trajectory generation and optimization considering robot kinematic and dynamic constraints. - Design, implement, and tune MPC or other advanced motion/trajectory controllers. - Develop robust trajectory tracking and path-following for real-world robots. - Implement obstacle avoidance, collision checking, and recovery behaviors. - Handle constraints including turning radius, steering, velocity, acceleration, angular velocity, robot footprint, and actuator limits. - Integrate planning and control with SLAM/localization, perception, odometry, and vehicle control systems. - Develop and maintain navigation software using ROS/ROS2. - Test and validate algorithms in simulation and on physical robots. - Diagnose issues such as path deviation, oscillations, unstable motion, poor tracking, deadlocks, and inefficient trajectories. - Optimize algorithms for accuracy, robustness, and real-time performance. Required Qualifications - Bachelor's/Master's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or related field. - 3+ years of hands-on experience in motion planning, navigation, or control for mobile robots/autonomous systems. - Strong understanding of path planning, motion planning, trajectory generation, and trajectory tracking. - Proven hands-on experience implementing and deploying MPC or equivalent advanced motion controllers on real robots. - Strong understanding of robot kinematics, coordinate transformations, and non-holonomic motion models. - Experience with control approaches such as MPC, LQR, nonlinear control, Pure Pursuit, Stanley, or equivalent. - Strong understanding of global/local planners, obstacle avoidance, and collision checking. - Strong C++ skills; Python is a plus. - Strong hands-on experience with ROS/ROS2, with ROS2 preferred. - Experience integrating planning and control with perception, localization, and odometry. - Experience debugging robotics systems using RViz/RViz2, logs, simulation, and real-robot testing. - Strong Linux and Git experience. - Ability to take algorithms from concept → implementation → simulation → real-world deployment. Good to Have - Experience with forklifts, AMRs, AGVs, autonomous vehicles, or warehouse robotics. - Experience with forklift/steering-based or Ackermann kinematics. - Experience with Nav2 / ROS2 Navigation Stack. - Experience with A, Hybrid A, Dijkstra, RRT/RRT*, DWA, TEB**, or similar planning approaches. - Experience with trajectory optimization and constrained optimization. - Experience optimizing algorithms for real-time embedded systems. - Experience with Gazebo, Isaac Sim, or other robotics simulators. - Experience with industrial robot safety and real-world autonomous deployment. ## What We Are Looking For We are looking for someone who understands how planning and control work under the hood, not someone who has only integrated existing navigation packages. You should be able to diagnose a problem such as: "The robot follows the planned path poorly, oscillates around the trajectory, or fails to navigate a constrained warehouse aisle." and determine whether the root cause is planning, trajectory generation, kinematic constraints, controller design/tuning, localization, or actuation. The candidate should be comfortable going beyond parameter tuning and modifying, optimizing, or developing planning and control algorithms when required. Deep Planning & Control → Real-World Implementation → Reliable Autonomous Motion ## About TELEXISTENCE Inc. ## Company Overview - **One-liner**: Telexistence Inc. builds and operates AI-powered robots for real-world retail and logistics environments, with a mission to grasp every single object in the world. - **Entity Type**: Private (Series B) - **Headquarters**: Tokyo, Japan - **Founded**: 2017 - **Founders**: Jin Tomioka ## Core Business - Primary industry: Robotics and Physical AI - Target customers: Retail convenience stores, logistics operators, robotics startups, and research institutions (B2B) - Mission or purpose: “Change robots, change structures, and change the world” – to make robots operate outside factories and revolutionize labor. ## Products & Services - **TX SCARA (Retail Robot)**: An AI-powered robot deployed in convenience stores for restocking and shelf management. Currently in over 300 FamilyMart stores across Japan. - **GHOST (Next-Gen Robot)**: Next-generation model under development with Foxconn for mass production. - **Astra (Humanoid Robot)**: Vision-Language-Action (VLA) humanoid robot being co-developed with Seven-Eleven Japan, targeting deployment in stores by 2029. - **Motion Data Factory (Service)**: A new industrial utility generating large-scale, stable robotic motion datasets for robotics companies and researchers, launching January 2026. - **Logistics Automation Systems**: Multi-robot systems (four robotic arms + four automated forklifts) for warehouse loading/unloading, deployed with SENKO Co., Ltd. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Total Funding**: $204.8M (as of Series B; $170M Series B led by SoftBank Group, Foxconn, Globis Capital Partners, with follow-ons from Airbus Ventures, KDDI Open Innovation Fund, Monoful Venture Partners) - **Key Metric**: Annual revenue ~$13M (LinkedIn estimate); deploying robots in commercial convenience stores at scale – a rare feat in the industry. - **Notable Investors/Partners**: SoftBank Group Corp., Foxconn, Airbus Ventures, KDDI Open Innovation Fund, Globis Capital Partners, Monoful Venture Partners, AWS (Generative AI Innovation Center), NVIDIA (IsaacSim), Seven-Eleven Japan, FamilyMart, SENKO. - **Growth Signals**: Headcount grew 16.2% YoY to 92 employees across 10 countries; entered strategic partnership for humanoid robot with Seven-Eleven; launched Motion Data Factory service; expanding into North America with SoftBank Robotics. ## Competitive Advantages - **Real-world scale**: Already operating hundreds of robots in live convenience stores, accumulating real-world data that competitors lack. - **Full-stack ownership**: In-house hardware, AI foundation models, data collection, and control – enabling rapid iteration and tight feedback loops. - **Advanced gripping and fleet management**: Proprietary grippers that handle perforated or weak boxes, plus an AI system that coordinates multiple robot arms and forklifts in parallel. - **Infrastructure**: Access to large-scale GPU clusters (AWS) and simulation tools (NVIDIA IsaacSim) for training foundation models. ## Strategic Focus - Continue scaling deployments in retail and logistics (Japan → North America). - Advance humanoid robot development (Astra) with Seven-Eleven for 2029 rollout. - Grow the Motion Data Factory as a utility service to power the broader robotics ecosystem. - Solidify mass production capabilities with Foxconn for next-gen models. ## Why Work Here - **Culture**: Highly flexible – no fixed hours, remote/hybrid/in-person options as long as goals are met. Results-driven environment. - **Team**: Multinational group of top specialists in hardware, software, AI, and teleoperation. Distributed across 10 countries (Japan, India, Turkey, Canada, US, etc.). - **Impact**: Work on frontier robotics problems with immediate real-world deployment – from convenience store shelves to logistics hubs. - **Growth**: Rapid scaling phase post-Series B; opportunities to shape platform from early stage. - **Perks**: Start-up agility with global investor backing; exposure to cutting-edge AI and robotics stack. ## Sources 1. [tx-inc.com](https://tx-inc.com/en/) 2. [tx-inc.com/about](https://tx-inc.com/en/about/) 3. [tx-inc.com/career](https://tx-inc.com/en/career/) 4. [jobs.lever.co](https://jobs.lever.co/tx-inc.com) 5. [linkedin.com](https://linkedin.com/company/telexistenceinc) ## Other roles at TELEXISTENCE Inc. - [Principal Robotics Hardware Engineer](https://feeny.ai/job/principal-robotics-hardware-engineer-telexistence-inc-tokyo-pbxtyw6afap5) — Tokyo, Japan - [Electronic Engineer - Logistics](https://feeny.ai/job/electronic-engineer-logistics-telexistence-inc-tokyo-27r5zw96pp8g) — Tokyo, Japan - [Robotics Software Engineer, Motion Planning - Logistics Division](https://feeny.ai/job/robotics-software-engineer-motion-planning-logistics-division-telexistence-inc-wjhgncadravn) — Tokyo, Japan - [Robotic Operation Support Expert](https://feeny.ai/job/robotic-operation-support-expert-telexistence-inc-tokyo-7a511wkm66my) — Tokyo, Japan - [事業開発リード/ Business Development Lead](https://feeny.ai/job/business-development-lead-telexistence-inc-tokyo-wzwvhhgbvsfh) — Tokyo, Japan - [Senior Robotics Software Engineer – Fleet & Navigation Systems - AGF Team](https://feeny.ai/job/senior-robotics-software-engineer-fleet-navigation-systems-agf-team-db7nfng9s9gj) — Tokyo, Japan - [Finance Lead (FP&A / IR）](https://feeny.ai/job/finance-lead-fp-a-ir-telexistence-inc-tokyo-82npxwnffnaj) — Tokyo, Japan - [Talent Acquisition Lead](https://feeny.ai/job/talent-acquisition-lead-telexistence-inc-tokyo-8dnha08y4twr) — Tokyo, Japan - [Talent Acquisition Expert](https://feeny.ai/job/talent-acquisition-expert-telexistence-inc-tokyo-67f4p5r6d939) — Tokyo, Japan - [サプライチェーン購買担当](https://feeny.ai/job/telexistence-inc-tokyo-16hj2pxvqazx) — Tokyo, Japan