Note: The job is a remote job and is open to candidates in USA. Torc Robotics develops software for automated trucks and autonomous vehicle technology. The Manager, Engineering - Offline Perception will lead the Offline Perception team, overseeing strategy, execution, hiring, mentoring, and technical direction for auto-labeling pipelines, perception model development, evaluation, and large-scale training data delivery.
Responsibilities
- Lead, grow, and set technical direction for the Offline Perception team — hiring, mentoring, and managing the performance and career growth of engineers and ML engineers
- Own the roadmap for offline perception model development and evaluation, from curated datasets through training, benchmarking, and delivery to downstream consumers
- Stay technical enough to review and guide architecture decisions across auto-labeling integration, offline perception training and evaluation, and large-scale data pipeline design
- Represent the team to senior leadership and cross-functional stakeholders in perception, simulation, and systems — translating strategy into concrete execution plans
- Partner with product and peer engineering leaders (including auto-tagging, data delivery, and human annotation) to prioritize the roadmap and resolve cross-team dependencies
- Drive process and quality improvements across the offline perception lifecycle — dataset specs, evaluation methodology, and repeatable 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
Skills
- BS or MS in Computer Science, Robotics, Electrical Engineering, or a related field, plus **8+ years** of software or ML engineering experience, including **2+ years managing engineers**
- Hands-on experience with auto-labeling for self-driving development — not just model research, but 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 — 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
- 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
Benefits
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- Company-wide holiday office closures
- AD+D and Life Insurance
Company Overview
Company H1B Sponsorship