Lead Embedded Robotics Engineer — ROS & Autonomous Systems

Polluxa, Inc.

United States

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Polluxa, Inc. in the United States seeks an experienced robotics software engineer to join our team. You will design and implement software for autonomous systems, focusing on real-time performance and reliability.

You will work with C++ and Python, ROS/ROS 2, and simulation tools to advance perception, localization, and motion planning, collaborating across hardware and field-test teams.

Candidates should have advanced robotics degree and proven contributions to robotics projects.

Qualifications

  • Five or more years of robotics software engineering experience.
  • Strong programming skills in C++ and Python.
  • Hands-on ROS/ROS 2 in production projects.
  • Experience with perception, localization, motion planning, or control.
  • Familiarity with sensor fusion and Kalman/particle filters.
  • Experience with simulation environments (Gazebo, Isaac Sim, MuJoCo).
  • Strong debugging skills in real-time and concurrent systems.
  • Excellent communication and documentation skills.
  • Experience supporting field tests and hardware integration.
  • Exposure to autonomous vehicles, drones, or industrial automation.
  • Experience with safety-critical software (ISO 26262, IEC 61508).
  • Familiarity with ML-based perception pipelines.
  • Open-source contributions in robotics.

Skills

Robotics software engineering
C++
Python
Sensor fusion
Real-time debugging
Documentation skills
Field tests
Autonomous systems
Safety-critical software
Open-source contributions

Education

Advanced degree in Robotics or related field

Tools

ROS/ROS 2
Gazebo
Isaac Sim
MuJoCo

Job description

Polluxa, Inc. in the United States seeks an experienced robotics software engineer to join our team. You will design and implement software for autonomous systems, focusing on real-time performance and reliability.

You will work with C++ and Python, ROS/ROS 2, and simulation tools to advance perception, localization, and motion planning, collaborating across hardware and field-test teams.

Candidates should have advanced robotics degree and proven contributions to robotics projects.

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