{"id":3074099,"url":"https://alion.io/job/telexistence-autonomous-motion-planning-control-engineer-logistics-agf-team","title":"Autonomous Motion Planning & Control Engineer - Logistics AGF Team","company":{"id":9430,"name":"Telexistence","domain":"tx-inc.com","url":"https://alion.io/company/telexistence","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HERP","truth_index":null},"role":"Robotics","role_family":"Robotics","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tokyo, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":108000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":133},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Model Predictive Control","optional":false},{"name":"Motion Planning","optional":false},{"name":"C++","optional":true},{"name":"Gazebo","optional":true},{"name":"Git","optional":true},{"name":"Isaac Sim","optional":true},{"name":"Linux","optional":true},{"name":"Nav2","optional":true},{"name":"Obstacle Avoidance","optional":true},{"name":"Path Planning","optional":true},{"name":"Python","optional":true},{"name":"ROS","optional":true},{"name":"ROS2","optional":true},{"name":"RViz","optional":true},{"name":"SLAM","optional":true}],"status":"live","first_seen_at":"2026-10-20T14:28:18Z","employer_posted_date":null,"last_verified_at":"2026-10-20T14:28:18Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"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.\nThe 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.\nExperience with forklifts, AMRs, AGVs, autonomous vehicles, or warehouse robots is highly desirable.\nKey Responsibilities\nDesign, implement, and deploy global/local path planning and motion planning algorithms.\nDevelop trajectory generation and optimization considering robot kinematic and dynamic constraints.\nDesign, implement, and tune MPC or other advanced motion/trajectory controllers.\nDevelop robust trajectory tracking and path-following for real-world robots.\nImplement obstacle avoidance, collision checking, and recovery behaviors.\nHandle constraints including turning radius, steering, velocity, acceleration, angular velocity, robot footprint, and actuator limits.\nIntegrate planning and control with SLAM/localization, perception, odometry, and vehicle control systems.\nDevelop and maintain navigation software using ROS/ROS2.\nTest and validate algorithms in simulation and on physical robots.\nDiagnose issues such as path deviation, oscillations, unstable motion, poor tracking, deadlocks, and inefficient trajectories.\nOptimize algorithms for accuracy, robustness, and real-time performance.\nRequired Qualifications\nBachelor's/Master's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or related field.\n3+ years of hands-on experience in motion planning, navigation, or control for mobile robots/autonomous systems.\nStrong understanding of path planning, motion planning, trajectory generation, and trajectory tracking.\nProven hands-on experience implementing and deploying MPC or equivalent advanced motion controllers on real robots.\nStrong understanding of robot kinematics, coordinate transformations, and non-holonomic motion models.\nExperience with control approaches such as MPC, LQR, nonlinear control, Pure Pursuit, Stanley, or equivalent.\nStrong understanding of global/local planners, obstacle avoidance, and collision checking.\nStrong C++ skills; Python is a plus.\nStrong hands-on experience with ROS/ROS2, with ROS2 preferred.\nExperience integrating planning and control with perception, localization, and odometry.\nExperience debugging robotics systems using RViz/RViz2, logs, simulation, and real-robot testing.\nStrong Linux and Git experience.\nAbility to take algorithms from concept → implementation → simulation → real-world deployment.\nGood to Have\nExperience with forklifts, AMRs, AGVs, autonomous vehicles, or warehouse robotics.\nExperience with forklift/steering-based or Ackermann kinematics.\nExperience with Nav2 / ROS2 Navigation Stack.\nExperience with A*, Hybrid A*, Dijkstra, RRT/RRT*, DWA, TEB, or similar planning approaches.\nExperience with trajectory optimization and constrained optimization.\nExperience optimizing algorithms for real-time embedded systems.\nExperience with Gazebo, Isaac Sim, or other robotics simulators.\nExperience with industrial robot safety and real-world autonomous deployment.\nWhat We Are Looking For\nWe are looking for someone who understands how planning and control work under the hood, not someone who has only integrated existing navigation packages.\nYou should be able to diagnose a problem such as:\n\"The robot follows the planned path poorly, oscillates around the trajectory, or fails to navigate a constrained warehouse aisle.\"\nand determine whether the root cause is planning, trajectory generation, kinematic constraints, controller design/tuning, localization, or actuation.\nThe candidate should be comfortable going beyond parameter tuning and modifying, optimizing, or developing planning and control algorithms when required.\nDeep Planning & Control → Real-World Implementation → Reliable Autonomous Motion","description_format":"text","description_chars":4069,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Transportation & 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