{"id":130230,"url":"https://alion.io/job/woven-by-toyota-junior-software-engineer-driving-planning","title":"Junior Software Engineer, Driving Planning","company":{"id":5989,"name":"Woven by Toyota","domain":"woven.toyota","url":"https://alion.io/company/woven-by-toyota","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":82,"open_postings":19,"ghost_share":0,"stale_share":0.526,"repost_share":0,"time_to_fill_p50_days":107,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":null,"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":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"MATLAB","optional":false},{"name":"Path Planning","optional":false},{"name":"Simulink","optional":false},{"name":"Linux","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2025-03-26T03:51:02Z","employer_posted_date":"2025-03-26","last_verified_at":"2026-10-29T14:13:02Z","board_verified":true,"closed_at":null,"days_open":582,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":582},"description":"TEAM\nDynamics and Control is a team that aims to develop safer and more secure vehicle maneuver applications for mass production vehicles. In advanced driving assistance systems such as autonomous driving, the ego-velocity and path planning technology is highly required so that the driving trajectory on public roads should be calculated efficiently and smoothly. Our driving planning engineers have been developing optimized velocity and path planning algorithms so as to emulate a skilled driver based on the surrounding environment and obstacles information acquired from the autonomous sensors and lane information from a high-precision map.\nWHO ARE WE LOOKING FOR?\nAn expert in developing the optimized ego-velocity, driving planning and decision-making technology for the autonomous driving system or advanced driving assistance system. The specific areas are as follows.\nLongitudinal and lateral vehicle dynamics control such as acceleration, de-acceleration and velocity\nVelocity management based on the acquired data by autonomous sensors and lane information from a high-precision map.\nVirtual development and validation with closed-simulation models.\nOptimal velocity and driving planning algorithms subject to environmental, perceptual capabilities, high-precision map and actuation constraints.\nCross-functional discussions about vehicle controller and actuator performance, and contribute to motion control design reviews\nRESPONSIBILITIES\nDeveloping driving planning algorithms to control vehicles in complex and sensitive surrounding environments\nRealizing safer and more secure autonomous driving systems and driver assistance systems through collaboration across different functions\nDeveloping efficient real-time ADAS applications for embedded systems\nBecoming familiar with cutting-edge vehicle dynamics control and driving planning technologies, and incorporating them into feasible application software for real-time platforms\nEvaluating application functionality and performance using data acquired by test vehicles or vehicle simulators\nTo understand and align with the customer’s requirements, and define the software requirements\nMINIMUM QUALIFICATIONS\nBachelor’s degree in computer science engineering: software, electrical, mechatronic, robotics, industrial, aerospace or equivalent engineering field\nExperience in coding with C, C++, or MATLAB/Simulink\nWork experience of 1 to 3 years in software development for productization\nNative Level Japanese (N1 or higher)\nMore than 2 years of work experience\nNICE TO HAVES\nWork experience in the automotive industry\nWork experience in ADAS driving planning technology or vehicle dynamics control technology (e.g. ACC, AEB.)\nExperience in developing the real-time application optimized for the embedded system\nExperience with agile software management tools\nExperience with one or more programming languages (e.g. Python)\nExperience in developing with Linux\nExperience with coding based on the following conventions: CERT-C, MISRA-C","description_format":"text","description_chars":3003,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Japanese","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Japan","iso":"JP","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Automotive Manufacturing","Smart City","Automotive Software"],"lifecycle":[{"event":"open","at":"2025-03-26T03:51:02Z"},{"event":"open","at":"2026-09-25T15:15:56Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long 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