2 дня назад
Senior/Staff Robotics Integration Engineer (Autonomous Vehicles)
170 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior/Staff Robotics Integration Engineer (Autonomous Vehicles): Integrating, validating, and testing software and hardware for Level 4 autonomous vehicles with an accent on system safety, sensor integration, and real-world reliability. Focus on designing simulation and on-road test scenarios, debugging perception and navigation systems, analyzing test data, and automating validation workflows.
Location: Onsite at the Santa Clara, California office
Salary: $170,000–$250,000 per year
Company
develops Level 4 autonomous trucks and autonomous transportation-as-a-service solutions for short-haul, B2B middle-mile logistics.
What you will do
- Lead integration of software and hardware components across autonomous driving systems.
- Develop and maintain system-level test plans, cases, and procedures for perception, navigation, and control.
- Conduct in-lab, simulation, hardware-in-the-loop, and on-road testing across diverse operational scenarios.
- Create reproducible test scenarios using Gazebo and Carla.
- Debug sensor integration, data processing, and software-hardware communication issues.
- Analyze test data, perform root-cause analysis, optimize system performance, and automate validation workflows with Jenkins and Python.
Requirements
- Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Computer Science, or a related field.
- 4+ years of experience in testing, validation, and integration of autonomous or robotic systems.
- Strong proficiency in ROS/ROS2, C++, and Python.
- Understanding of robotic perception, sensor fusion, and navigation systems.
- Experience with Gazebo, Carla, hardware-in-the-loop testing, and autonomous-vehicle sensors including LiDAR, radar, cameras, and IMUs.
- Experience analyzing logs and test data, troubleshooting systems, and preparing performance reports.
Nice to have
- Experience with CI/CD and test automation for robotics or autonomous vehicle systems.
- Knowledge of machine learning and autonomous-driving perception algorithms.
- Background in data logging, data processing, and big data analysis.
- Experience with Linux, Docker, Git, and related robotics development tools.
Culture & Benefits
- Collaborative, respectful, and agile work environment.
- Focus on diversity, inclusion, and equal opportunities for professional growth.
- Opportunity to contribute to autonomous transportation and more resilient supply chains.
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