Job Search

Recruit Detail

Find out more about the work we do, the experience and skills we can bring to the table, and our terms and conditions.

Company Name

Mujin Co., Ltd.

Job Type

Senior Robotics Algorithm Engineer (C++ / Optimization)

Work Detail

Our team develops MujinOS's fundamental algorithmic layer, blending control algorithms, allowing real-time motion planning, and advanced packing algorithms. This layer powers downstream applications including palletizing, piece-picking, and depalletizing, users to build solutions efficiently on our platform. We work in a fast-paced, agile environment where we collaborate closely, review ideas openly, strongly and iterate quickly. Continuous learning and technical curiosity are encouraged. As part of the Robotics System Team, you will design, develop, and deploy advanced algorithms that power Mujin's real-time industrial robotic systems. Team Structure & Focus Areas Our team of consists of three core algorithmic tracks. You may specialize in one while collaborating across all: Control Algorithms Real-time trajectory control, robot dynamics, multibody modeling, and precision execution. Motion planning Collision checking, sampling-based planning, optimization-based planning, high-speed bin-picking motions. Packing Algorithms Geometric reasoning, packing optimization, item fitting strategies, and fast combinatorial search. Responsibilities Tackle scientific and technical challenges in motion planning, control, packing, and system design for industrial robots (robot arms and other peraherals). Design, develop, and test algorithms for robotic manipulation tasks such as picking, packing, and material handling. Build highly concurrent, performance-critical software systems. Implement and optimize real-time communication modules with robot controllers and peripheral devices using C/C++. Team up with our project management and integration teams to support PoCs and ensure that our technologies work smoothly in real customer setups.

Ideal Profile

Minimum Requirements Academic background in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or related fields 5+ years of academic or industrial experience in robotics and software engineering Strong proficiency in C++ and Python Solid understanding of linear algebra, 3D geometry, and their applications in robotics Experience working in Linux environments High motivation to solve real-world robotics problems Business level English skills or Japanese skills Preferred Qualifications Experience with concurrent or hierarchical robotic software stacks (e.g., ROS, OpenRAVE, custom frameworks) Hands-on experience with multi-joint robot hardware Advanced Linux skills Mathematical foundations in areas such as multibody dynamics, collision checking, graph/search algorithms, or optimization

Work Location

Tokyo, Japan (MJHQ) Location 3-8-5 Tatsumi, Koto-Ku, Tokyo 135-0053, Japan

Phd. Stating Salary

Salary Based on experience and skills Salary revision twice a year Additional bonuses are available based on performance

Selection Flow

Interview Process: Coding Assessment: Initial technical evaluation. HR Interview: Discussion with Human Resources. Hiring Manager Interview: One or two rounds with the hiring manager. Take-Home Assignment & Feedback Interview (If Applicable): A task to complete on your own, followed by a feedback session.

Similar Recruits

Tier IV, Inc.

Job Type
1007_Perception Engineer, Autonomous Driving

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

Astroscale Co., Ltd.

Job Type
Eng16_Senior Robotics Engineer

This position involves the mechanical design and system development of a refueling system integrating multiple components, including multiple visual sensors, robotic mechanisms, and target measurement/robot control computers. Visual sensors include various types such as visible and infrared cameras, laser rangefinders (LRF), LiDAR, and lighting devices. The refueling mechanism consists of multiple joint link mechanisms, capture mechanisms, refueling end effectors, and their actuators. This position involves the following tasks: Collaborating with the satellite system design and development team and the component development team to design the optimal integration of component groups for achieving the satellite system's mission. Designing and analyzing interfaces and specifications between devices. Managing mechanical ICDs (Interface Control Documents) between other subsystems. Developing verification plans for the capture system. Planning, preparing, and conducting various tests, such as vibration tests, thermal vacuum tests, and thermal cycle tests. Evaluating test results and incorporating them into the design. Collaborating with the manufacturing department to assemble the mechanical components of the capture system. This role involves purchasing equipment and components, and creating specifications for outsourced design and manufacturing. It also includes coordinating technical details with suppliers and manufacturers regarding specifications, and managing progress with outsourced design companies.

Tier IV, Inc.

Job Type
1022_Senior Machine Learning Engineer, (Autonomous Driving End-to-End Model)

We are seeking a Machine Learning expert for end-to-end autonomous driving technology development. [Background] 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. The End-to-End Machine Learning Engineer position will be responsible for the design, implementation, training, and evaluation of machine learning models for autonomous driving 2.0. Rapid prototyping skills and familiarity with the latest machine learning research are required. Furthermore, given the limited computing resources of in-vehicle ECUs, the goal is to develop machine learning models that achieve high performance while adhering to time constraints. [Job Description] - Development of high-performance and robust end-to-end machine learning models for autonomous vehicles - Surveying the latest research papers, reproducing implementations, and benchmarking - Training, optimizing, and implementing machine learning models on in-vehicle ECUs - Data management (collection, selection, preprocessing), data quality improvement, and data pipeline construction for large-scale datasets - Design and operation of learning platforms (MLOps, distributed learning, evaluation platforms) for end-to-end model training - Contribution of autonomous driving technology to OSS - Establishing an open-source community for end-to-end machine learning models and collaborating with various communities and companies [Challenges and Rewards] Towards the realization of an autonomous driving society, we will develop high-performance and robust end-to-end machine learning models. Furthermore, we will open-source end-to-end machine learning models and establish an open-source community for end-to-end machine learning models at the Autoware Foundation. [Reference Information] - Tier IV collaborates with Professor Yutaka Matsuo (University of Tokyo)'s research organization to accelerate research on autonomous driving AI https://prtimes.jp/main/html/rd/p/000000022.000040119.html - After ChatGPT comes the "world model": University of Tokyo's Professor Matsuo predicts the potential of autonomous driving AI https://xtech.nikkei.com/atcl/nxt/column/18/02252/052500022/ [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