Remote AMR Robotics Engineer at Kanaria Tech

AMR Robotics Engineer
📍 Location: Remote
👥 Team: Founding Engineering
🕒 Employment Type: Part-time

About Kanaria Tech
Kanaria Tech is building an end-to-end foundation navigation model for Autonomous Mobile Robots (AMRs). Using transformer-driven world models, the company enables robots to navigate safely in unstructured spaces without traditional SLAM hand-tuning. Kanaria Tech is aiming to achieve level-4 autonomous navigation — a first in the world.

Role Overview
The AMR Robotics Engineer will lead initiatives across simulation, navigation stack development, sim-to-real transfer, and sensor integration. This role is crucial to accelerate product milestones and support the AI team's model deployment efforts.

Key Responsibilities

Build and maintain Isaac Sim environments for large-scale data generation, testing, and CI.
Implement and refine ROS 2 navigation modules (localization, mapping, planning, control) on real robots.
Design robust sensor pipelines integrating LiDAR, RGB-D, IMU, wheel odometry, and GPS.
Lead sim-to-real transfer initiatives including calibration tooling, domain randomization, and validation metrics.
Collaborate with AI teams to supply datasets, enable on-robot inference, and integrate feedback loops.
Document and standardize engineering processes.

Example Outcomes (6–12 months)

Deploy a photorealistic warehouse simulation scene generating over 1M training frames.
Deliver a plug-and-play navigation stack achieving 99.5% mission completion in simulation and 95% in prototype testing.
Cut sim-to-real failure rates by over 40% through calibration and domain adaptation pipelines.
Integrate LiDAR, stereo, and IMU sensors on Jetson Orin, maintaining pose drift under 5 cm over 100 meters.
Enable the AI team to ship models 30% faster through reproducible data-collection scripts.

Required Qualifications

5+ years of experience in AMR development and field deployment.
Expertise with Isaac ROS, Isaac Sim, and ROS 2 (Foxy/Humble) navigation stacks.
Proven success delivering autonomy on production robots (warehousing, logistics, etc.).
Deep sensor integration skills: calibration, synchronization, and real-time fusion.
Proficiency in C++ and Python; familiarity with Git, Docker, and GPU-based CI/CD pipelines.
Professional English proficiency (Japanese is a plus but not required).

Preferred Qualifications

Ability to quickly interpret technical research and translate it into prototypes.
Experience with generative AI (e.g., diffusion models, LLMs, world-model agents).
Background in reinforcement learning or differentiable robotics.
Contributions to open-source robotics initiatives.

Compensation
Kanaria Tech offers a competitive salary and meaningful equity options. Compensation will be based on experience, skills, and location.

Why Join Kanaria Tech?

Founding-team equity opportunities.
Access to cutting-edge hardware (NVIDIA H100/H200 racks, extensive sensor suite).
Direct mentorship on state-of-the-art AI technologies, including transformers and multimodal foundation models.
A publication-friendly culture encouraging participation in leading conferences (ICRA, IROS, NeurIPS, and others).

Equal Opportunity Employer
Kanaria Tech is an Equal Opportunity Employer. The company celebrates diversity and is committed to creating an inclusive environment for all employees. If you require assistance or accommodations during the application process, please inform us.