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Engineering Manager, Active Sensors (LiDAR)

Torc RoboticsRemote, U.S, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VAAutonomy
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior · 4+ yrs
Posted
8 Oct 2026
Status
Open · checked 7d ago

About this role

Torc Robotics seeks an Engineering Manager for Active Sensors to lead a machine learning team focused on lidar perception pipelines for automated trucks, operating in a remote or hybrid capacity across U.S. locations. This role is well-suited for a technically proficient leader with a background in autonomous systems who can balance people management with direct architectural oversight.

Role Overview

Torc Robotics is hiring an Engineering Manager to oversee the Active Sensors team within the Perception department. The group owns the end-to-end lidar perception pipeline for automated trucks, ranging from motion compensation to multitask learned perception. The position is available as a remote U.S. role or on a hybrid basis from company offices in Ann Arbor, Michigan, Blacksburg, Virginia, or Fort Worth, Texas.

Key Responsibilities

Lead, coach, and develop a team of software and machine learning engineers through hiring, performance management, and career progression.
Establish technical direction, roadmaps, and priorities for active-sensor perception in alignment with company milestones.
Direct the creation of multitask models for object detection, free-space estimation, and road and lane detection using lidar and radar data.
Oversee architecture decisions covering shared backbones, sensor fusion, temporal modeling, uncertainty estimation, and task interactions.
Manage the entire machine learning lifecycle from data requirements and experimentation to deployment, monitoring, and robotic testing.
Define strategies to maintain consistent performance during sensor degradation, failures, and adverse weather conditions.
Collaborate across multiple departments including sensor hardware, data, infrastructure, simulation, safety, and planning.

Requirements

Bachelor of Science in Computer Science, Robotics, Electrical Engineering, or a related discipline with at least 6 years of professional experience, or a Master of Science with at least 4 years of experience.
Minimum of 2 years of professional leadership experience managing engineers, including performance oversight and coaching.
Technical expertise in computer vision and machine learning, incorporating 3D geometry, model evaluation, and perception failure modes.
Professional background in deploying production machine learning systems for robotics or autonomous driving.
Familiarity with lidar sensing principles, including scan patterns, reflectance, time synchronization, and FMCW lidar.
Proficiency in Python and PyTorch alongside practical production experience using C++.
Experience optimizing deep learning models utilizing TensorRT while balancing latency, memory, and hardware constraints.

Nice to Have

Doctor of Philosophy in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
Experience utilizing NVIDIA libraries and frameworks such as CUDA, CuDNN, CuBLAS, NPP, or writing custom TensorRT operations.
Published research, patents, or open-source contributions within computer vision, machine learning, robotics, or autonomous driving.

Skills and Tools

Python
PyTorch
C++
TensorRT
LiDAR
Radar
CUDA
CuDNN
CuBLAS
NPP

About the Company

Torc Robotics has operated as a pioneer in autonomous driving technology since 2007 and commercialized solutions alongside experienced partners. Now part of the Daimler family, the company focuses exclusively on developing automated software for trucks to transform freight movement.

How to Apply

Interested candidates should submit their application directly on the official Torc Robotics careers page.

Skills and tech stack

Questions candidates ask

Where can this role be performed from?

The position can be performed remotely within the United States or on a hybrid basis from company offices in Ann Arbor, Michigan; Blacksburg, Virginia; or Fort Worth, Texas.

What level of education and experience is required?

Applicants need either a Bachelor's degree with 6+ years of professional experience or a Master's degree with 4+ years of experience in Computer Science, Robotics, Electrical Engineering, or a related field. Additionally, 2+ years of engineering management experience is required.

What programming languages and frameworks are required?

The role requires strong proficiency in Python and PyTorch, practical production experience with C++, and experience deploying deep learning models using TensorRT.

What does the Active Sensors team do?

The Active Sensors team owns the end-to-end lidar perception pipeline for autonomous trucks, including motion compensation, point-cloud aggregation, and multitask learned perception for object detection and road understanding.

Is a PhD required for this position?

No, a PhD is not required, though holding one in a relevant technical field is listed as a nice-to-have preference.

Ready to apply?

The application is on the official Torc Robotics careers page.

Apply on company site