Autonomous Driving Vehicle Perception Engineer
Overview
Lead design and implementation of advanced perception algorithms for autonomous vehicles using LiDAR cameras radar and GNSS. Develop and optimizesensor fusion techniques to improve accuracy and reliability of perception systems. Create algorithms for object detection tracking semantic segmentation and classification from 3D point clouds and camera data. Work on Simultaneous Localization and Mapping algorithms including Graph SLAM and LIO-SAM. Drive impact on vehicle autonomy and safety.
What You'll Do5
- 1Design and implement advanced perception algorithms for autonomous vehicles using LiDAR cameras radar and GNSS
- 2Develop and optimizesensor fusion techniques to combine data from multiple sensors improving accuracy and reliability of perception systems
- 3Create algorithms for object detection tracking semantic segmentation and classification from 3D point clouds and camera data
- 4Work on Simultaneous Localization and Mapping algorithms including Graph SLAM and LIO-SAM
- 5Drive impact on vehicle autonomy and safety
Requirements5
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading cross functional teams
- 35+ years developing sensor fusion solutions for autonomous driving
- 43-5 seasons implementing SLAM algorithms
- 52+ years working with LiDAR camera data and semantic segmentation models
Salary Insight
$80 - $140k per year
Location
Required Skills
Similar open positions
Explore active roles that match your skills and interests.
Hadrian-Automation
VerifiedAutonomous Factory Systems Perception Engineer
Lead technical direction for perception team at Hadrian's Autonomous Factory Systems. Define multi-year roadmap, align capabilities with strategy, and drive architecture for perception pipeline. This is a deeply hands-on role focused on expanding robot sensing and autonomy.
pivotal
VerifiedComputer Vision Engineer – Autonomy & Perception
Pivotal seeks a Computer Vision Engineer to lead perception system development for autonomous aerial platforms including the Helix family. You will collaborate with autonomy GNC flight software and AI engineers to design and deploy computer vision algorithms that operate in dynamic real-world environments. This role drives robust autonomous operations through expertise in object detection tracking visual localization and sensor fusion.
Amazon.com Services LLC
VerifiedSenior Applied Scientist Amazon Robotics Perception Systems
Lead the development of perception systems harnessing radar and thermal imaging to enable robots to operate reliably in challenging conditions. Drive ML-driven perception pipelines for non-traditional sensing modalities at scale. This role defines the future of autonomous robotics through cutting-edge research and deployment.
agtonomy
VerifiedMachine Learning Engineer, Perception & Computer Vision
Agtonomy seeks a Machine Learning Engineer to build perception systems for autonomous heavy machinery in agriculture and turf. You'll own real-time Computer Vision and LiDAR fusion, enabling safe operation in dusty, occluded, and unstructured environments. Collaborate with a small team of engineers and industry experts, shipping models from research to embedded hardware. This role drives the shift from bounding boxes to dense scene understanding and foundation-model-driven data engines.
Amazon.com Services LLC
VerifiedApplied Scientist II Perception - Machine Learning Expertise
Lead perception algorithm development for robotics systems driving autonomous interaction. Own end-to-end ML model pipeline from data collection to deployment. Shape technical direction through research and cross-functional collaboration. Impact large-scale robotic deployments worldwide.
General Motors LLC
VerifiedSenior Machine Learning Engineer II - Autonomous Vehicles at General Motors
The Senior Machine Learning Engineer II leads development of robotic and machine learning applications for an AV company. This role focuses on designing and testing ML solutions to drive innovation in autonomous operations. Responsibilities include contributing to the full ML pipeline and collaborating with cross-functional teams. This position offers unique exposure to cutting-edge technologies and impact on zero crash safety initiatives.