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

Job description

Job responsibilities

• Design, train, and evaluate Vision-Language-Action models that generate high-level driving decisions and trajectory guidance in support of Plus's reasoning layer.
• Own a VLA workstream end to end — data, architecture, large-scale training, and on-vehicle validation.
• Build training and evaluation pipelines and rigorous metrics for VLA performance in driving contexts.
• Develop distillation and compression recipes to deploy large reasoning models on on-board compute.
• Apply SFT and RL post-training to improve reasoning, robustness, and long-tail behavior.
• Collaborate with perception, planning, and platform teams to bring models from research to production

Job requirements

• M.S. minimum, Ph.D. preferred in CS, EE, Mathematics, Statistics, or a related field.
• 3+ years implementing and training models in a deep learning framework (PyTorch, TensorFlow, or JAX).
• Direct, hands-on experience training vision-language / vision-language-action models.
• Hands-on experience with model training, evaluation, and deployment in production.
• Thorough understanding of state-of-the-art vision-language / VLA models, diffusion, flow matching, and transformers.
• Experience with large-scale / distributed model training.
• Model distillation, quantization, and inference optimization (ONNX/TensorRT, mixed precision, custom kernels).
• SFT and RL post-training of large multimodal models.