Teams at 42dot

Research and prototype next-generation Vision-Language-Action architectures for autonomous driving. Develop multimodal foundation models, world models, predictive simulations, long-horizon planning systems, and agentic driving architectures integrating reasoning, memory, planning, and action. Train and fine-tune large-scale models, implement current AI research, build data pipelines, and contribute research prototypes to production systems in collaboration with distributed global teams.

Develop machine learning and hybrid physics-data methods to improve vehicle and component models. Build scalable pipelines for vehicle telemetry, simulation, test, and fleet data, including ingestion, synchronization, transformation, storage, and evaluation. Create cloud infrastructure for model training, simulation, validation, experiment tracking, and reproducible development supporting vehicle intelligence and autonomous driving.

Integrate, validate, troubleshoot, and maintain development vehicles for autonomous driving, ADAS, software-defined vehicle, AI, and data-collection programs. Install sensors, compute, logging, networking, and instrumentation systems; support prototype builds, system bring-up, testing, calibration, field deployments, documentation, and root-cause analysis. Coordinate vehicle modifications, maintain operational readiness, track fleet status and equipment, and support deployments, charging, logistics, and transportation activities.