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Company Name
Tier IV, Inc.
Job Type
1007_Perception Engineer, Autonomous Driving
Work Detail
TIER IV develops and operates Autoware, open-source autonomous driving software, and provides a wide range of applications, solutions, and services related to autonomous driving. Perception engineers are primarily responsible for developing technology that recognizes traffic participants and stationary objects around the vehicle using onboard sensors, which is one of the most critical functions in Level 4 autonomous driving. Through development, evaluation, and benchmarking, we accumulate specialized knowledge in Perception and address real-world challenges. By making these technologies open-source and usable both internally and externally, we aim to accelerate autonomous driving development. [Job Description] - Design and implementation of sensor systems for autonomous driving (sensor configuration, calibration, synchronization, noise reduction, etc.) - Design and implementation of perception systems for autonomous driving using ROS 2/C++ (detection, segmentation, tracking, prediction, etc.) - Functional implementation for machine learning infrastructure/evaluation infrastructure, implementation of test code, construction of datasets for learning and evaluation - Contribution of autonomous driving technology to OSS TIER IV uses Autoware, a widely used open source autonomous driving software stack, to provide a wide range of applications, solutions, and services related to autonomous driving. Autonomous Driving Perception Engineers develop autonomous driving systems that can be deployed in various situations. Applicants will be favorably sought if they have a graduate degree in a related subject, strong software engineering skills, and demonstrated experience in the fields of autonomous vehicles or robotics. Perception Engineers will: - Design implementation and test of sensor systems for autonomous driving (sensor configuration, calibration, synchronization, noise reduction, etc.) - Design implementation and test perception systems for autonomous driving (detection, segmentation, tracking, (Prediction, etc.) - Implementation of functions for machine learning platforms/evaluation platforms, implementation of test code, and construction of datasets for learning evaluation - Contribute autonomous driving technology to OSS [Duties to be performed] - Immediately after hiring: Duties as described in this job posting - Scope of changes: In addition to the above, duties specified by the company
Ideal Profile
Required Skills 1: Proficiency in one or more of the following areas of autonomous driving recognition technology: - Camera, LiDAR, RADAR sensing, filtering, calibration, and sensor fusion - Object detection, object tracking, and future trajectory prediction - Theory and implementation of deep learning for traffic scene recognition technology (CUDA/C++ based) - Probabilistic state estimation, probabilistic inference, and optimization techniques - Performance/failure analysis of recognition capabilities 2: Proficiency in one of the following technologies necessary for development: -C++ -Python - ROS 2 (ROS) -Linux - TensorRT/CUDA 3: Language ability: - Communication skills in Japanese/English 1: In the application domain of autonomous driving or robotics, you should be familiar with one or more of the following: - Camera, LiDAR or RADAR sensing, filtering, processing, calibration and sensor fusion - Object detection, multi-object tracking, behavior prediction - Deep learning theory & methods for perception of traffic scenes - Stochastic state estimation, probabilistic reasoning, optimization techniques - Perception performance/fault analysis, operational design domains 2: Proficiency in one or more of the following development-related technologies: -C++ -Python -ROS 2 (ROS) -Linux - TensorRT/CUDA 3: Language proficiency: - Engineering teams work primarily in Japanese language environment, although non Japanese speaking candidates with strong engineering experience will be considered - Bilingual (Japanese-English) ability Valued for collaboration with global partners Desired Skills - Management experience in perception technology teams or related fields in automotive companies - Contribution to OSS (Open Source Software) - Development experience in autonomous driving/robotics fields - Experience in developing machine learning algorithms and using machine learning frameworks - Experience with Linux and embedded systems - Knowledge and experience of sensor hardware and sensor physical properties - Product-level coding experience - Management experience in perception technology teams or related fields in automotive companies - Record of contribution to OSS - Experience developing self-driving cars or autonomous mobile robots - Knowledge of machine learning theory and applications - Experience in Linux and embedded systems - Experience/knowledge of sensor hardware and physical properties of sensors - Experience/knowledge of product-level quality coding
Work Location
(Immediately after hiring / Initial Assignment) Jakom Building, 1-12-10 Kitashinagawa, Shinagawa-ku, Tokyo; Izumi Kitashinagawa Building, 1-19-4 Kitashinagawa, Shinagawa-ku, Tokyo; and Employee’s home (Scope of Changes / Potential Changes) Any location designated by the company (including remote work locations) Measures to prevent passive smoking at the workplace: Completely smoke-free environment at the workplace.
Phd. Stating Salary
Estimated Monthly Salary: ¥483,334 ~ ¥1,166,667 Base Monthly Salary: ¥357,334 ~ ¥862,667 (excluding fixed overtime pay) Fixed Overtime Pay: ¥126,000 ~ ¥304,000 will be paid as overtime allowance for 45 hours, regardless of whether overtime is performed. Overtime exceeding 45 hours, as well as holiday work and late-night work, will be paid separately as additional premium wages.