Perception Engineer, Autonomy
Serve Robotics
San Francisco, CA, USA
USD 190k-235k / year + Equity
Posted on Dec 2, 2025
Location
San Francisco Bay Area
Employment Type
Full time
Location Type
On-site
Department
Software
Compensation
- $190K – $235K • Offers Equity
The salary range listed in this posting is representative of the range of levels being considered for this position. Total compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.
At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
We are seeking an Autonomy Sensor Engineer to strengthen the sensing foundation of our autonomy stack. In this role, you will work across cameras, LiDAR, radar, and other onboard sensors to improve data quality, characterization, and processing pipelines. You’ll focus primarily on sensor algorithms and processing, while also supporting sensor driver development when needed. Your work will directly enhance the robustness, consistency, and capability of our perception systems.
Responsibilities
Develop and improve sensor processing pipelines for camera and 3D sensors.
Build and evaluate algorithms for sensor quality, resiliency, and noise handling.
Characterize sensor performance, including timing, latency, and synchronization across modalities and build pipelines for monitoring across the fleet
Experiment with and integrate new sensors into the autonomy platform.
Collaborate with perception, autonomy, and hardware teams to diagnose issues and improve multi-sensor performance along with sensor selection
Support sensor driver bring-up, configuration, and upgrades as required for current and next generation platforms
Own sensor calibration and health pipeline across the entire fleet of robots
Qualifications
Strong experience in sensor processing, computer vision, robotics, or related fields.
Proficiency in C++ and Python for real-time or robotics applications.
Hands-on experience with camera, LiDAR, radar, or similar sensor data.
Understanding of multi-sensor synchronization, calibration, and characterization.
Experience with ROS/ROS2 or similar middleware.
What Makes You Stank Out
Experience experimenting with or benchmarking new sensor hardware.
Familiarity with sensor drivers, hardware APIs, or embedded systems.
Background in perception, SLAM, or sensor fusion.
Experience with CUDA highly desired.
* Please note: The base salary range listed in this job description reflects compensation for candidates based in the San Francisco Bay Area. While we prefer candidates located in the Bay Area, we are also open to qualified talent working remotely across US and Canada.
U.S. – all locations: $155k - $195k USD
Canada- all locations: $130k - $160k CAD
Compensation Range: $190K - $235K