Senior/Staff Research Engineer — Vision-Language-Action Models (Autonomous Driving)

What you'll do

• Design, train, and evaluate VLA models and own a workstream from data and architecture through on-vehicle validation.
• Build training and evaluation pipelines, metrics, and distillation and compression methods for on-board deployment.
• Apply SFT and RL post-training and collaborate with perception, planning, and platform teams to move models into production.

What they ask for

• At least 3 years implementing and training models in a deep learning framework.
• Direct, hands-on experience training vision-language or vision-language-action models.
• Hands-on experience with model training, evaluation, and production deployment.
• Understanding of vision-language/VLA models, diffusion, flow matching, and transformers; experience with large-scale or distributed training.

Nice to have

• Distillation, quantization, inference optimization, SFT or RL post-training, or multimodal sensor data experience.
• Publications at listed top venues or autonomous driving/ADAS experience.

Pay

USD 170,000–260,000 per-year-salary (base salary)

Tools

PyTorch, TensorFlow, JAX, ONNX/TensorRT

AI focus

Train VLA models for autonomous-driving decisions and trajectory guidance; develop model evaluation, distillation, compression, and post-training methods for robust on-board deployment.