Automotive Robotics Engineer
Rex.zone · United States · 3 wk ago
RemoteRemoteEngineering$30–$50/hrFull-time
This role is remote with a focus on candidates in the Curitiba area for timezone alignment; onsite work is not required.
Role Overview
You will design and deliver robotics capabilities spanning robot-assisted manufacturing and autonomy-adjacent perception modules. The work includes integrating sensors and perception models, building simulation-first validation loops, and hardening systems for reliability, latency, and safety. You will also partner with data operations teams to improve training data quality for perception (annotation guidelines compliance, QA evaluation, and dataset audits) and support LLM-assisted tooling workflows for debugging/reporting where applicable.
Responsibilities
- Develop robotics software components using ROS2, C++, and Python for automotive robotics systems
- Build perception pipelines: camera/LiDAR preprocessing, detection/tracking interfaces, and sensor fusion
- Implement motion planning and control loops; tune performance for real-time constraints (latency, reliability)
- Create simulation and test harnesses (SIL/HIL) to validate edge cases and regression performance
- Define data collection and labeling requirements to improve perception model performance through data-centric iteration
- Support training data quality initiatives: annotation guidelines compliance, QA evaluation, and dataset audits
- Collaborate cross-functionally to meet safety validation and release criteria
- Document architectures, test results, and operational runbooks for deployment and monitoring
Qualifications
- Mid-Senior experience in robotics or automotive software engineering
- Strong C++ and Python; experience with ROS2 and robotics middleware
- Understanding of computer vision and sensor fusion fundamentals
- Experience with simulation, test automation, and performance profiling
- Familiarity with safety validation concepts and engineering quality processes
- Comfort working with AI/ML evaluation signals (training data quality, labeling feedback loops)
Pay
$30–$50 per hour (base).