обновлено 6 дней назад
Sensor Integration Software Engineer (Autonomous Vehicles)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Sensor Integration Software Engineer (Autonomous Vehicles) (C++/Python, Sensor Systems): Designing and maintaining low-latency device drivers and software pipelines for cameras, LiDAR, radar, IMU, GNSS, microphones, and other autonomous vehicle sensors with an accent on sensor synchronization, filtering, preprocessing, and health monitoring. Focus on developing real-time embedded software, debugging hardware and network issues, and integrating sensor data with perception and localization systems.
Location: Austin, Texas, United States; onsite. Remote work options are not available.
Company
develops autonomous driving technology and software for autonomous vehicles.
What you will do
- Design, develop, optimize, and maintain low-latency device drivers and software pipelines for cameras, LiDAR, radar, IMU, GNSS, microphones, actuators, and other vehicle sensors.
- Develop algorithms for timestamping, filtering, preprocessing, and synchronizing sensor data for perception and localization systems.
- Build and maintain data analysis pipelines for sensor health monitoring, early detection of out-of-spec behavior, and performance bottleneck identification.
- Collaborate with embedded, perception, and localization teams to integrate sensors into the autonomous vehicle platform.
- Debug hardware- and software-related issues and provide sensor-domain expertise to guide technical solutions.
Requirements
- Bachelor’s or master’s degree in computer science, robotics, electrical engineering, mathematics, physics, or a related STEM field, or equivalent experience.
- At least 5 years of production software development experience.
- Strong proficiency in C++ and Python.
- Knowledge of automotive cameras, LiDAR, radar, IMU, GNSS, sensor principles, limitations, and calibration techniques.
- Familiarity with ROS or similar frameworks, communication protocols, Linux networking, and network debugging.
- Must be authorized to work in the United States.
Nice to have
- Experience with self-driving cars, autonomous vehicles, or robotic systems.
- Experience developing drivers or processing software for radar and camera data.
- Experience with real-time embedded systems and asynchronous, safety-critical processes, threads, timers, and interrupts.
- Experience with custom Linux-based embedded systems, kernel-space sensor pipelines, hardware bring-up, schematics, and embedded device debugging.
- Knowledge of CAN, SPI, I2C, PCIe, and Ethernet interfaces.
Culture & Benefits
- Work with state-of-the-art sensors and autonomous driving technologies.
- Collaborate with experienced engineers across embedded, perception, and localization disciplines.
- Work in a dynamic environment focused on complex real-time systems and sensor integration.
- Relocation and visa sponsorship are not offered.
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