Meet the Team You'll lead the Offline Perception team within Data Loop and Simulation. The team explores the advantages of offline processing - building auto-labeling pipelines that combine different models and data-processing approaches to produce multi-modal, high-quality training data (2D, 3D, semantic segmentation, dense depth, and related modalities) that feeds online perception model development across Torc. You'll own strategy and execution for this data-to-model path, partnering with auto-tagging, data delivery, human annotation, and autonomy stakeholders on priorities, quality, and delivery.
What You'll Do - 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.
What You'll Need to Succeed - 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.
Bonus Points! - 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.
Perks of Being a Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- 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
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102835
Hiring Range for Job Opening US Pay Range
$195,500-$234,600 USD
