Robotics Algorithm Engineer (C++ / Optimization)

Mujin creates MujinOS, the intelligent operating system for industrial robotics. By leveraging real-time digital twins, MujinOS seamlessly connects and orchestrates equipment to achieve fully autonomous operations. At our core is  Machine Intelligence (MujinMI), a unique approach offering advanced perception, planning, and control algorithms that solve the most challenging automation problems. Trusted by globally recognized companies, we are redefining supply chain efficiency. Headquartered in Japan with growing teams in China, the US, and Europe, we invite you to join a dynamic environment where you can shape the future of automation. Our team develops MujinOS’s fundamental algorithmic layer, blending control algorithms, real-time motion planning, and advanced packing algorithms. This layer powers downstream applications including palletizing, piece-picking, and depalletizing, allowing users to build solutions efficiently on our platform. We work in a fast-paced, agile environment where we collaborate closely, review ideas openly, and iterate quickly. Continuous learning and technical curiosity are strongly 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 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.

Minimum Requirements

Academic background in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or related fields

3+ years of academic or industry experience in robotics or software engineering

Strong proficiency in C++ (modern C++ preferred) 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

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

Why Mujin

Your work doesn’t stay in simulation—your algorithms become production-grade, real-world applications such as palletizing, picking, and depalletizing that run on factory floors globally.

You will work on real industrial robotics problems, and your algorithms will be deployed rapidly to solve previously impossible automation challenges.

Our team is made up of experienced robotics specialists from top global programs (e.g., NTU, CMU, Stanford). You’ll work alongside supportive teammates and mentors who share knowledge openly and help each other grow.

We develop the core of the Mujin platform in-house, unifying planning, perception, simulation, and control so we can shape the entire system with complete autonomy.

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.