Sensor Integration Software Engineer – Autonomous Vehicles

Full Timemid

Austin, TexasPosted Yesterday

Role Overview

Avride is hiring a mid-level Sensor Integration Software Engineer – Autonomous Vehicles. This is a full-time role in Austin, Texas. Part of Avride's Embedded hiring, posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Mid-level Embedded roles is $131k-$180k (based on 78 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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Job description

About the Team:

The Sensors and System Software team is crucial to autonomous driving, developing the core software that allows our vehicles to perceive and understand the world around them. Join our team and directly contribute to groundbreaking autonomous driving technology, revolutionizing transportation. Work with state-of-the-art sensors and technologies, pushing the boundaries of perception. Learn from top engineers, tackle complex challenges, and expand your expertise in real-time systems, embedded software, and sensor fusion. Thrive in a dynamic team of experts, fostering innovation and intellectual stimulation.

About the Role:
We are seeking an experienced Software Engineer responsible for integrating the diverse array of sensors into our software pipelines. In this critical role, you will be responsible for designing, developing, debugging and maintaining the core software stack as well as cultivating deep expertise in the sensor domain, serving as a key resource and guiding other team members towards optimal solutions.

You will:

Design, develop, optimize and maintain low-latency, robust device drivers and software pipelines for Camera, LiDAR, Radar, IMU, GNSS, Microphones, and other autonomous vehicle sensors and actuators.
Develop and optimize algorithms for timestamping, filtering and preprocessing sensor data to remove noise, false detections and artifacts before providing synchronized data to the perception and localization subsystems.
Develop and maintain data analysis pipelines to monitor sensor health, provide early detection of out-of-spec behavior and identify performance bottlenecks.
Collaborate with cross-functional teams, including embedded, perception and localization to integrate sensors into the overall autonomous vehicle platform, to ensure optimal sensor performance and debug the hardware and software related issues.
Act as the expert in the sensor domain by understanding the technical characteristics, features and available parameters of the sensors, as well as their underlying principles of operation and application nuances.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Math, Physics or related STEM fields or equivalent years of experience.
Minimum of 5 years of experience in production software development.
Strong proficiency in C++ and Python programming.
Understanding fundamentals of automotive Cameras (GMSL/FPD-Link), LiDAR, Radar, IMU, GNSS, and other sensor technologies, including their 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.
Strong problem-solving and debugging skills.
Ability to work in a fast-paced dynamic environment.

Bonus Qualifications:

5+ years of experience in self-driving cars, autonomous vehicles or robotic systems.
Experience with developing drivers and/or processing software for radars and camera data or expertise in sensor development.
Experience with real-time embedded systems, including working in an asynchronous environment with multiple real-time, low-latency, safety-critical systems processes, threads, timers, interrupts.
Experience in working with the custom Linux based systems for the embedded devices, and understanding of the kernelspace parts of the senors data pipelines.
Understanding the electronic engineering fundamentals to be able to perform supporting functions like reviewing schematics and designs of embedded devices and performing the bring-up and debugging of the hardware.
Experience with common automotive hardware interfaces like CAN, SPI, I2C, PCIe, Ethernet.

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.

Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

About Avride

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Frequently Asked Questions

How do I apply for the Sensor Integration Software Engineer – Autonomous Vehicles position at Avride?

Use the Apply button above to submit your application directly to Avride. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Sensor Integration Software Engineer – Autonomous Vehicles position at Avride located?

This position is based in Austin, Texas. Avride has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Sensor Integration Software Engineer – Autonomous Vehicles at Avride earn?

Avride has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Sensor Integration Software Engineer – Autonomous Vehicles role at Avride posted?

This role was posted on July 20, 2026 (yesterday). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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