Technical Lead Manager, Synthetic Data
Core
Lead the Synthetic Data workstream within Simulation to reduce dependency on on-road data collection by turning generative world models (like GAIA) into a production engine for training-grade autonomous driving experience.
Role type
Senior IC machine learning engineering lead (synthetic data & generative models)
Builds
Production-grade synthetic driving data, generative world models, and training pipelines for autonomous vehicles
Domain
Autonomous driving, generative AI, simulation
Deliverable
production ML models
Required skills
Generative modelling (diffusion, flow matching, autoregressive, VAEs), video/world model engineering, 3D geometry & camera systems, end-to-end data loop closure, large-scale GPU inference, Python/PyTorch engineering
Preferred skills
AV/robotics simulation, inference optimization (distillation, KV caching), offline RL, distributed training orchestration
Technologies
PyTorch, Python, multi-GPU clusters, cloud GPU fleets (Azure/AWS/GCP)
Responsibilities
Architect technical direction for post-training world models, own the end-to-end generation-to-training loop, lead a cross-functional team of ML engineers, optimize inference throughput and yield, mentor team members
Seniority
Senior, hands-on IC with people management
