Lead Robotics Engineer (ROS 2 & Autonomous Systems)

$1k – $2k • 15.0% – 20.0%
|Remote (
Everywhere
)
|3 years of exp
|Cofounder

Posted: 1 month ago• Recruiter recently active

Hires remotely in

Everywhere

Remote Work Policy

Remote only

Company Location

Athens •

Tallinna linn

Visa Sponsorship

Not Available

Preferred Timezones

Hawaii, Alaska, Pacific Time, Mountain Time, Central Time, Eastern Time, Atlantic Time, Greenland, Brasilia Summer Time, Azores, Coordinated Universal Time, Central European Time, Eastern European Time, Turkey Time, Dubai Time, Maldives Time, Astana Time, Indochina Time, China Standard Time, Japan Standard Time, Brisbane, Vladivostok, Auckland, Wellington, Samoa Time, International Date Line West, Niue Time

Collaboration Hours

9:00 AM - 3:00 PM Eastern European Time

RelocationNot Allowed

Skills

Python

C++

Computer Vision

Sensor Fusion

LiDAR

Robot Operating System (ROS)

ROS (Robot Operating System), ROS2, GPS, GAZEBO, RViz, CAD; Perception: LiDAR, Point

ROS (Robot Operating System), ROS2, GPS, GAZEBO, RViz, CAD

Nav2

NVIDIA Jetson

About the job

About the Role:
We are seeking a Lead Autonomous Systems & Robotics Engineer to transition Drivo Bot from high-fidelity 3D simulation to a fully operational, real-world 8x8 autonomous delivery robot. You will own the entire autonomy stack and be responsible for the actual deployment of software onto physical hardware.

What You Will Do:

Full Autonomy Architecture: Design and implement the autonomous driving system using ROS 2 (Humble/Jazzy) and Nav2 for our 8x8 skid-steer chassis.
Perception & Sensor Fusion: Integrate and calibrate real-world sensors (3D LiDAR, stereoscopic depth cameras, IMU, and wheel encoders) into a robust localization and mapping (SLAM) pipeline.
Simulation to Reality (Sim2Real): Develop a high-fidelity Gazebo/Webots simulation to validate motion planning, and successfully port and flash that software onto the physical NVIDIA Jetson AGX Orin onboard computer.
Hardware Integration & Low-Level Control: Bridge the high-level ROS 2 Nav2 commands (/cmd_vel) with low-level motor controllers (VESC/CAN bus) to actuate the 8 in-wheel hub motors in real-world environments.
Fleet & App Connectivity: Collaborate with our cloud team to link the robot's real-time navigation status with our web/mobile delivery application APIs via 4G/5G.

Requirements:

Proven experience deploying ROS/ROS 2 systems on physical, real-world autonomous robots or autonomous vehicles.
Deep understanding of hardware communication protocols (CAN bus, Serial, Ethernet, USB).
Mastery of C++ and Python within Linux/Ubuntu environments.
Experience with NVIDIA Jetson hardware acceleration and JetPack SDK.
Strong problem-solving skills for debugging real-world hardware/software edge cases.