Senior, Engineering Manager - Perception & Auto-Tagging

Torc Robotics•Ann Arbor, MI

6d•$195,500 - $234,600

About The Position

At Torc, we believe that autonomous vehicle technology will transform how we travel, move freight, and do business. As a leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now part of the Daimler family, we are focused on developing software for automated trucks to transform how the world moves freight. This role leads the Offline Perception team within Data Loop and Simulation, focusing on building auto-labeling pipelines that combine different models and data-processing approaches to produce high-quality training data for online perception model development. The position owns strategy and execution for the data-to-model path, partnering with various stakeholders on priorities, quality, and delivery.

Requirements

BS or MS in Computer Science, Robotics, Electrical Engineering, or a related field.
8+ years of software or ML engineering experience.
2+ years managing engineers.
Hands-on experience with auto-labeling for self-driving development, including pipelines that produce usable labels at scale.
Track record delivering large-scale perception datasets in production contexts (e.g., 2D OD, 3D OD, semantic segmentation, dense depth, and related modalities) with clear quality and delivery ownership.
Breadth across perception models and modalities, with practical familiarity with different model families.
Experience with AI infrastructure and data pipelines, including distributed compute and data platforms (e.g., Databricks, Ray, Spark), cloud infrastructure (e.g., AWS), and tooling for fleet-scale training and evaluation.
Proven track record leading and scaling technical teams, including hiring, mentoring, and performance management.
Experience setting technical strategy and roadmap for ML or data engineering teams.
Strong communication skills, with the ability to represent team strategy to leadership and peer engineering teams.

Nice To Haves

Experience leading ML or data engineering teams in autonomous vehicles or robotics.
Familiarity with VLMs, auto-labeling pipelines, or perception model evaluation methodology.
Experience managing managers or leading multiple teams simultaneously.
Familiarity with scenario description standards such as Pegasus layers.

Responsibilities

Lead, grow, and set technical direction for the Offline Perception team, including hiring, mentoring, and managing performance and career growth.
Own the roadmap for offline perception model development and evaluation, from curated datasets through training, benchmarking, and delivery.
Review and guide architecture decisions for auto-labeling integration, offline perception training and evaluation, and large-scale data pipeline design.
Represent the team to senior leadership and cross-functional stakeholders, translating strategy into execution plans.
Partner with product and peer engineering leaders to prioritize the roadmap and resolve cross-team dependencies.
Drive process and quality improvements across the offline perception lifecycle, including dataset specifications, evaluation methodology, and delivery of production-grade training data.
Manage team health and staffing, balancing headcount and skill mix between ML/perception engineering and data pipeline/AI infrastructure needs.