東京

SLAM & Navigation Engineer

Tokyo
Partial Remote
Full-time
July 14, 2026

About Omakase Robotics

Aming to be the world’s leading humanoid company, we are building highly reliable robots for everyday real-world use, engineered with rigorous mass-production discipline. Three vertically integrated components: Omakase D1 (our own hardware), Omakase Zen (the manipulation intelligence foundation), and Omakase OS (the orchestration software that runs robots in the field — this role).

About this Role

Our robots navigate hospitals, hotels, and retail floors — narrow corridors, glass walls, crowds, carts, and lighting that changes by the hour. You will own localization, mapping, and navigation inside Omakase OS: one engineer, full ownership, deployed robots. This role absorbs what was previously posted as two overlapping SLAM positions; we want one strong owner, not a SLAM department.

What You'll Do

Own the localization/mapping stack end to end (we build on LiDAR-inertial odometry, e.g. FAST-LIO-class systems) for indoor human-shared environments
Build robust state estimation: sensor fusion across LiDAR, cameras, IMU, and wheel odometry; degeneracy handling; relocalization
Develop and tune path planning and obstacle avoidance for dynamic indoor spaces (people are not static obstacles)
Build the mapping/calibration toolchain used at every customer-site deployment (fast site bring-up is a product feature)
Optimize for edge compute (Jetson-class): CPU/GPU budgets shared with policy inference
Validate in simulation and on robots; define navigation acceptance tests FDEs can run at deployment time

Required Qualifications

3+ years hands-on SLAM / VIO / LiDAR-inertial odometry experience with real sensor data on real platforms (research or production; simulation-only does not qualify)
Production-grade modern C++ and solid Python
Strong foundations in 3D geometry, state estimation (EKF/UKF, factor graphs), and nonlinear optimization
ROS / ROS 2 on Linux; you have debugged bad odometry at a real site before
Point cloud processing (PCL / Open3D) and multi-sensor calibration experience

Nice to Have

FAST-LIO / LIO-SAM family internals; loop closure and map management at building scale
Deployment on embedded GPUs (Jetson), CUDA optimization
Navigation among dense pedestrians; social navigation literature awareness
Docker, CI/CD; Japanese language is a plus for site visits

Why this role

Full ownership of a stack that ships: your maps and planners run every day at customer sites, and deployment speed you build becomes company margin.
You sit next to the manipulation and runtime teams — navigation is integrated, not siloed.

APPLY NOW ➜

About Omakase Robotics

Building AI That Enables Robots to Work Alongside People.

Omakase Robotics is developing the software intelligence that allows robots to understand, navigate, and operate safely in human environments. Rather than building robots for a single purpose, the company is creating a robot-agnostic AI operating system that combines perception, planning, voice interaction, and autonomous decision-making to help robots perform meaningful work across industries. Inspired by the Japanese philosophy of Omotenashi, Omakase Robotics aims to create machines that naturally assist people in everyday life.

Bringing Intelligence into the Physical World

Building on ZEALS' expertise in AI agents and conversational intelligence, Omakase Robotics extends that intelligence into robotics. By combining advances in foundation models, computer vision, cloud robotics, and autonomous planning, the team is creating software that enables robots from different manufacturers to continuously learn, adapt, and collaborate with people. The vision is to accelerate the adoption of practical service robots in environments such as healthcare, hospitality, retail, logistics, and beyond.

Solving Some of Robotics' Hardest Problems

Robotics is one of the most challenging fields in software engineering, requiring expertise across AI, distributed systems, real-time computing, and hardware integration. Engineers at Omakase Robotics work on technologies including Robot Operating System (ROS 2), computer vision, motion planning, cloud infrastructure, and multimodal AI. Every project is designed to move robots one step closer to operating safely and autonomously in the real world.

Omakase Robotics is part of ZEALS. Check out their company profile here for more information!