Mid-Level Robotics Engineer, Autonomous Systems
Clera
Praca zdalna
- Lokalizacja
- Remote (Worldwide)
- Godziny pracy
- Full Time
- Opublikowano
- 18 paź 2026
Przed aplikowaniem sprawdź na stronie pracodawcy, czy oferta nadal jest aktualna, i zapoznaj się z pełnymi warunkami.
Opis stanowiska
Interfejs jest w języku polskim. Nazwy stanowisk i opisy pracodawców pozostają w oryginalnym języku publikacji, którym może być angielski.
About the Role
Join an engineering and R&D team as a Robotics Engineer focused on autonomous systems. You will build and integrate drone-based robotic systems from prototype through field validation, supporting safe and reliable delivery operations.
What You'll Do
Design and integrate robotic mechanisms, sensors, actuators, controllers, and drone payload systems.
Develop control, navigation, path-planning, and obstacle-avoidance solutions.
Program robotics software with ROS or ROS 2 and C++ or Python, and validate solutions in simulation.
Integrate flight controllers, companion computers, communication links, and telemetry with drone systems.
Build, troubleshoot, and field-test prototypes, analyzing flight logs and sensor data.
Collaborate with mechanical, electronics, and software teams on prototype development and deployment.
What We're Looking For
At least 2 years of hands-on experience in robotics, UAV systems, or autonomous systems.
Strong foundations in kinematics, dynamics, control theory, PID, and system integration.
Proficiency in C++ or Python, ROS or ROS 2, and Linux; familiarity with MATLAB.
Practical experience with PX4 or ArduPilot, MAVLink, motors, ESCs, batteries, and flight controllers.
Knowledge of IMU, GPS or RTK, LiDAR, sensor fusion, and GPS-denied navigation.
Experience with embedded systems, microcontrollers, Raspberry Pi or Jetson, actuators, and hardware debugging.
Familiarity with CAN, UART, I2C, drone telemetry, simulation, field testing, and flight-log analysis.
Background in robotics, mechatronics, electrical engineering, aerospace, computer science, or a related field. Computer vision, machine learning, SLAM, Gazebo, Webots, CAD, or BVLOS experience is a plus.
Compensation & Benefits
Visa sponsorship is not available.
Originally posted on Himalayas