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Avride

Sensor Integration Software Engineer – Autonomous Vehicles

Austin, TexasmidAdded today

About this role

Join Avride's Sensors and System Software team in Austin to design and maintain low-latency sensor integration software for autonomous vehicles. You'll develop device drivers and data pipelines for cameras, LiDAR, radar, and other sensors while collaborating with perception and localization teams to advance autonomous driving technology.

What you'll do

  • Design and optimize low-latency device drivers and software pipelines for multiple sensor types (camera, LiDAR, radar, IMU, GNSS, microphones)
  • Develop algorithms for sensor data timestamping, filtering, and preprocessing to ensure synchronized, clean data for downstream systems
  • Build and maintain data analysis pipelines to monitor sensor health and detect performance degradation
  • Debug hardware and software integration issues in collaboration with embedded and perception teams
  • Serve as domain expert on sensor technical characteristics, calibration techniques, and operational principles
  • Optimize algorithms to remove noise, false detections, and artifacts before perception subsystem handoff

What they're looking for

  • C++ and Python programming
  • Sensor technologies (automotive camera, LiDAR, radar, IMU, GNSS)
  • ROS or similar robotics frameworks
  • Linux networking and debugging
  • Real-time embedded systems development
  • Automotive hardware interfaces (CAN, SPI, I2C, PCIe, Ethernet)
  • Hardware debugging and schematic review
  • Problem-solving and low-level debugging
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Avride

Avride develops autonomous vehicle and delivery robot technology, building the computational infrastructure, data systems, and localization platforms that enable autonomous driving development. The company is hiring backend engineers, ML infrastructure specialists, data platform engineers, robotics software engineers, and site infrastructure engineers to scale its simulation, training, logging, and operational systems.

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Likely interview questions

  • Describe your experience integrating multiple sensor types into a production system—what were the biggest challenges with synchronization and latency?
  • Walk us through how you would debug a LiDAR or camera driver exhibiting intermittent data drops in a real-time system.
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