Engineering Manager Active Sensors LiDAR

3 days agoLead Remote, U.S, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VA Remote Full Time Engineering Management Jobs by Torc Robotics

Skills

3d Geometry C#Computer Vision Cuda Embedded Computing Lane Detection Lidar Machine Learning Multitask Learning Object Detection Occupancy Estimation Python Pytorch Radar Sensor Fusion Tensorrt

Candidate Availability

Remote · United States · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead a machine learning and software engineering team developing lidar-based perception capabilities for autonomous trucks. You will set technical direction, manage the roadmap and delivery, guide model and system decisions, and collaborate across engineering disciplines. You will maintain rigorous engineering, evaluation, release, and monitoring practices.

Requirements

Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field with 6+ years of professional experience, or a master's degree with 4+ years of experience
2+ years of experience leading and managing engineers
Machine learning and computer vision knowledge, including 3D geometry, model evaluation, uncertainty, and perception failure modes
Experience developing and deploying production machine learning systems
Experience with multitask learning, object detection, road and lane detection, or 3D occupancy estimation
Understanding of lidar sensing, including scan patterns, reflectance, FMCW lidar, and sensor time synchronization
Experience across data curation, model training, experimentation, evaluation, integration, and production validation
Proficiency in Python and PyTorch and practical C++ experience
Experience deploying and optimizing deep learning models with TensorRT
Understanding of embedded computing constraints for real-time perception systems
Experience planning machine learning projects and managing cross-functional dependencies
Written and verbal communication skills

Responsibilities

Lead, coach, and develop machine learning and software engineers
Set the technical direction, roadmap, and priorities for active-sensor perception
Own development and delivery of multitask lidar and radar perception models
Guide architecture and design decisions for sensor fusion, temporal modeling, and uncertainty estimation
Maintain perception performance across adverse conditions and sensor failures
Own delivery across the machine learning lifecycle
Ensure dataset quality and coverage across operating conditions and failure modes
Establish metrics, benchmarks, and failure-analysis practices
Review technical designs, models, experiments, and verification evidence
Collaborate with cross-functional engineering and safety teams
Track commitments and communicate progress, risks, dependencies, and staffing needs
Maintain engineering standards through reviews, reproducible experimentation, and release-readiness criteria

Benefits