Engineering Manager, Active Sensors (LiDAR)

torcrobotics; United States; Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Hybrid work locations (Ann Arbor, MI;.

Equity and bonus

Employer-paid health premiums

401(k) with match

Generous paid vacation

Life and AD+D insurance

Job summary

torcrobotics is seeking an engineering manager to lead a machine learning team building active-sensor perception systems (LiDAR and radar) for autonomous trucks. The role blends people management with hands-on technical guidance across the full perception lifecycle, from data and architecture through model training, evaluation, deployment, and on-vehicle validation.

You will own roadmap, priorities, and delivery while partnering with cross-functional groups across sensor hardware, data

Qualifications

• Engineering manager with proven track record shipping production ML systems.
• Experience deploying real-time perception models on embedded compute with latency constraints.
• Hands-on ML lifecycle expertise from data collection to deployment and robotic testing.
• Experience with pipelines for motion compensation, point-cloud aggregation, sensor fusion and graceful degradation.
• Strong ability to define technical roadmaps and manage cross-functional dependencies.

Responsibilities

• Lead, coach, and grow a team of ML and software engineers through hiring, performance management, career development, and continuous feedback.
• Set technical direction, roadmap, and priorities for active-sensor perception aligned with perception and vehicle-level milestones.
• Own end-to-end delivery of multitask models for object detection, road and lane detection, and free-space estimation using LiDAR and radar data.
• Guide architecture decisions spanning shared backbones, task-specific representations, sensor fusion, temporal modeling, and uncertainty estimation, while preventing regressions across tasks or downstream behavior.
• Define strategies that maintain perception quality under adverse weather, environmental change, sensor degradation, sensor failures, missing inputs, and unreliable or delayed data.
• Represent the team across the broader organization, communicating progress, dependencies, and risks to senior leadership and technical partners.

Skills

Engineering management

3D perception

Multitask learning

Embedded compute

ML lifecycle

Sensor fusion

Education

PhD in Computer Science, Robotics, Electrical Engineering, or ML

Tools

CUDA

cuDNN

cuBLAS

TensorRT

Job description

Role overview

A leadership role for an engineering manager directing a machine learning team that builds active-sensor (LiDAR and radar) perception systems for autonomous trucks. The position blends people management with hands‑on technical guidance across the full perception lifecycle, from data and architecture through model training, evaluation, deployment, and on‑vehicle validation, ensuring models run reliably on embedded compute in real‑world conditions. The successful candidate will own roadmap, prioritization, and delivery while partnering with cross‑functional groups across sensor hardware, data infrastructure, simulation, compute platform, systems engineering, safety, and planning.

Responsibilities

• Lead, coach, and grow a team of ML and software engineers through hiring, performance management, career development, and continuous feedback
• Set technical direction, roadmap, and priorities for active‑sensor perception aligned with perception and vehicle‑level milestones
• Own end‑to‑end delivery of multitask models for object detection, road and lane detection, and free‑space estimation using LiDAR and radar data
• Guide architecture decisions spanning shared backbones, task‑specific representations, sensor fusion, temporal modeling, and uncertainty estimation, while preventing regressions across tasks or downstream behavior
• Define strategies that maintain perception quality under adverse weather, environmental change, sensor degradation, sensor failures, missing inputs, and unreliable or delayed data
• Represent the team across the broader organization, communicating progress, dependencies, and risks to senior leadership and technical partners

Requirements

• Demonstrated success as an engineering manager leading teams that ship production machine learning systems
• Deep expertise in 3D perception, multitask learning, and deploying real‑time perception models on embedded compute under latency, memory, and power constraints
• Hands‑on understanding of the ML lifecycle, including data requirements, model development, experimentation, evaluation, integration, deployment, and robotic testing
• Experience with pipelines covering motion compensation, point‑cloud aggregation, sensor fusion, and graceful degradation behaviors
• Track record of defining technical roadmaps and managing complex cross‑functional dependencies against program milestones
• Strong written and verbal communication skills, with the ability to explain technical decisions, tradeoffs, and risks to both engineering teams and senior leadership

Nice to have

• PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related field
• Hands‑on experience with NVIDIA libraries and frameworks such as CUDA, cuDNN, cuBLAS, NPP, or building custom TensorRT operations
• Publications, patents, or open‑source contributions in machine learning, computer vision, robotics, or autonomous driving

Benefits and work setup

• Hybrid office‑based work in Ann Arbor, MI; Blacksburg, VA; or Fort Worth, TX, with remote options also available within the United States
• Competitive compensation package that includes a bonus component and equity (stock options)
• 100% employer‑paid medical, dental, and vision premiums for full‑time employees
• 401(k) plan with a 6% employer match
• Flexible scheduling and generous paid vacation available from the start date, plus company‑wide holiday office closures
• AD+D and life insurance coverage