Engineering Manager, Autonomous Vehicle Perception (Lidar/Radar ML Systems)

torc robotics • Blacksburg-christiansburg-radford Area

Remote

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AI Summary

Lead a machine learning team developing production-grade lidar/radar perception systems for autonomous trucks, overseeing end-to-end ML lifecycle from data to deployment, while managing cross-functional collaboration and technical roadmaps. Requires 6+ years of ML/perception experience, 2+ years of engineering leadership, and expertise in multitask 3D perception, embedded optimization, and real-time systems.

Key Highlights

Lead a team of ML engineers focused on lidar/radar-based perception for autonomous trucks, ensuring production-grade robustness and real-time performance.

Own technical direction, roadmap, and execution for multitask perception models (object detection, road/lane estimation, occupancy mapping) across adverse conditions.

Collaborate with hardware, data, simulation, and safety teams to integrate perception systems into embedded platforms while balancing latency, memory, and compute constraints.

Key Responsibilities

Lead a team of ML engineers developing lidar/radar perception systems for autonomous trucks, ensuring production-grade robustness and real-time performance.

Define and execute the technical roadmap for multitask perception models (object detection, road/lane estimation, 3D occupancy mapping) with cross-task consistency.

Collaborate with sensor hardware, data, simulation, and safety teams to integrate perception systems into embedded platforms while optimizing for latency, memory, and compute constraints.

Establish rigorous evaluation metrics, benchmarks, and failure-analysis practices for perception performance, robustness, and downstream system impact.

Manage the full ML lifecycle—data curation, model development, experimentation, integration, deployment, and monitoring—ensuring coverage across adverse weather and sensor failure modes.

Hire, coach, and develop engineers while setting performance standards, career growth plans, and continuous feedback mechanisms.

Represent the team to senior leadership, communicating progress, risks, dependencies, and staffing needs while aligning roadmaps with company milestones.

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Technical Skills Required

Machine Learning (Multitask Learning, 3D Perception) Python TensorRT

Benefits & Perks

Competitive compensation with bonus and stock options

100% paid medical, dental, and vision premiums

401K plan with 6% employer match

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Nice to Have

PhD in Computer Science, Robotics, or related field

Experience with NVIDIA CUDA/CuDNN/CuBLAS/NPP or custom TensorRT operations

Publications, patents, or open-source contributions in ML/robotics/autonomous driving

Job Description

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

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