Omakase Robotics
Autonomous Driving / 2D & 3D SLAM Engineer
Japan (Hybrid)RemotePosted Today
Full TimeMidRemoteJP
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Job Description
As a SLAM Engineer at Omakase Robotics, you will own the localization, mapping, and state estimation systems that enable our robots to navigate hospitals, hotels, and retail environments — not just fl
Key Highlights
- Languages: C++, Python
- Frameworks: ROS/ROS2, PCL, OpenCV, Eigen, Ceres / g2o
- Tools: Linux, Docker, Git, NVIDIA CUDA (preferred)
- Thrive in an early-stage startup where you help define how things work
- Want direct, hands-on access to real robots — a level of freedom rare at larger companies
Qualifications
Required Qualifications
- Master’s or PhD (or equivalent professional experience) in Robotics, CS, or Computer Engineering
- 3+ years of professional or strong academic experience in 2D/3D SLAM, Visual Odometry (VO), or VIO
- Production-level C++ (C++11/14/17) and solid Python skills
- Strong mathematical foundation: 3D geometry, linear algebra, coordinate transformations, non-linear optimization (Ceres, g2o)
- Hands-on experience with ROS/ROS2 in Linux development environments
- Experience processing real sensor data: 3D LiDAR, depth/RGB cameras, IMUs
Preferred Qualifications
- Experience with autonomous driving frameworks (Autoware, Apollo) — Autoware contributors especially welcome
- Point cloud processing with PCL or Open3D
- GPU optimization (CUDA) or Edge AI deployment (NVIDIA Jetson/Orin)
- Track record of deploying algorithms on physical robots or vehicles (Sim-to-Real)
- Experience with dynamic path planning (Hybrid A*, TEB, DWA)
- Docker + Git + CI/CD workflow experience
Skills & Technologies
PythonLinuxDockerGitC++CI/CD
About the Company
Omakase Robotics
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Job Details
Employment Type
Full Time
Experience Level
Mid
Location
Japan (Hybrid)
Work Mode
Remote
Posted
Today
Country
JP