Senior Engineering Manager – Perception & Auto-Tagging

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Lead, develop, and establish the technical direction for the Offline Perception team, which includes hiring, mentoring, performance management, and fostering career growth.

• Take ownership of the roadmap for offline perception model development and evaluation, encompassing curated datasets, training, benchmarking, and delivery.

• Review and provide guidance on architectural decisions related to auto-labeling integration, offline perception training and evaluation, as well as the design of large-scale data pipelines.

• Represent the team to senior leadership and cross-functional stakeholders across perception, simulation, and systems.

• Collaborate with product and peer engineering leaders to prioritize the roadmap and address cross-team dependencies.

• Propel process and quality enhancements throughout the offline perception lifecycle.

• Oversee team health and staffing requirements across ML/perception engineering and data pipeline/AI infrastructure.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related discipline.

• Over 8 years of experience in software or ML engineering.

• More than 2 years of experience managing engineers.

• Hands-on experience with auto-labeling pipelines for self-driving technology development.

• Proven track record of delivering large-scale production perception datasets, including 2D object detection, 3D object detection, semantic segmentation, and dense depth estimation.

• Practical knowledge of perception models and modalities, including their accuracy, scale, latency, annotation costs, and generalization trade-offs.

• Experience with AI infrastructure and data pipelines, including distributed computing and data platforms such as Databricks, Ray, and Spark.

• Familiarity with cloud infrastructure, specifically AWS.

• Documented experience in leading and scaling technical teams, including hiring, mentoring, and performance management.

• Experience in establishing technical strategies and roadmaps for ML or data engineering teams.

• Excellent communication skills with the ability to articulate team strategy to leadership and peer engineering teams.

• Bonus: Experience in leading ML or data engineering teams within the autonomous vehicles or robotics domains.

• Bonus: Knowledge of VLMs, auto-labeling pipelines, perception model evaluation methodologies, managing teams or multiple teams, and Pegasus layers.

🏝️ Benefits

• A competitive compensation package that comprises a bonus component and stock options.

• Full coverage of medical, dental, and vision premiums for full-time employees.

• A 401K plan that includes a 6% employer match.

• Flexible scheduling and generous vacation time (available immediately upon hire).

• Company-wide holiday office closures.

• AD+D and Life Insurance coverage.

• Potential sign-on bonuses, relocation assistance, and other forms of compensation based on the position offered.