Senior, Engineering Manager - Offline Perception
$195,500–$234,600 year
RemoteAnn Arbor, Michigan, United States
Job Summary
Lead, grow, and set technical direction for the Offline Perception team by hiring, mentoring, and managing engineers and ML engineers. Own the roadmap for offline perception model development and evaluation, curating datasets through training, benchmarking, and delivery to downstream consumers. Stay technical to review architecture decisions across auto-labeling integration, offline perception training, and large-scale data pipeline design. Represent the team to senior leadership and cross-functional stakeholders, translating strategy into concrete execution plans. Partner with product and peer engineering leaders to prioritize the roadmap and resolve dependencies. Drive process and quality improvements across the offline perception lifecycle, including dataset specs and evaluation methodology. Manage team health and staffing, balancing headcount and skill mix between ML/perception engineering and data pipeline needs.
Required Qualifications
- 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
- Track record delivering large-scale perception datasets in production contexts — e.g. 2D OD, 3D OD, semantic segmentation, dense depth, and related modalities
- Breadth across perception models and modalities — practical familiarity with different model families, what each is good for, and where they break down (accuracy, scale, latency, annotation cost, generalization)
- Experience with AI infrastructure and data pipelines — distributed compute and data platforms (e.g. Databricks, Ray, Spark), cloud infrastructure (e.g. AWS), and the tooling needed to train and evaluate at fleet scale
- 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, and communicating tradeoffs to senior leadership
- Strong communication skills, with the ability to represent team strategy to leadership and peer engineering teams
Desired Qualifications
- 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
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