Sensor Integration Software Engineer (Autonomous Vehicles)

TL;DR

Sensor Integration Software Engineer (Autonomous Vehicles): Integrating Camera, LiDAR, Radar, IMU, GNSS, microphones, and other autonomous vehicle sensors into low-latency software pipelines with an accent on robust device drivers, timestamping/filtering/preprocessing, and synchronized sensor data for perception and localization. Focus on building and debugging core sensor-domain software stacks, monitoring sensor health, and collaborating across embedded, perception, and localization to resolve hardware/software issues.

Location: Austin, Texas

Company

hirify.global develops autonomous driving technology with a focus on sensor and system software.

What you will do

• Design, develop, optimize, and maintain low-latency, robust device drivers and sensor software pipelines for autonomous vehicle sensors and actuators.
• Develop and optimize algorithms for timestamping, filtering, and preprocessing sensor data to remove noise and artifacts before feeding perception and localization.
• Build and maintain data analysis pipelines to monitor sensor health, detect out-of-spec behavior early, and identify performance bottlenecks.
• Collaborate with embedded, perception, and localization teams to integrate sensors into the autonomous vehicle platform and debug related hardware/software issues.
• Serve as the sensor-domain expert by understanding sensor characteristics, parameters, operating principles, and calibration/application nuances.

Requirements

• Authorization to work in the U.S.
• 5+ years of production software development experience.
• Strong proficiency in C++ and Python.
• Fundamentals knowledge of automotive sensors (Camera, LiDAR, Radar, IMU, GNSS) including principles of operation, pros/cons, limitations, and calibration techniques.
• Familiarity with ROS (or similar frameworks) and related communication protocols.
• Experience with Linux networking and debugging network-related issues.

Culture & Benefits

• Work on core sensor and system software for autonomous driving.
• Collaborate with cross-functional experts across embedded, perception, and localization.
• Focus on real-time systems, embedded software, and sensor fusion challenges.
• No remote work options and no relocation sponsorship.

Hiring process

• Application and interview process to evaluate technical fit for sensor integration, low-latency systems, and debugging experience.