1 день назад
Senior/Staff Research Engineer — Vision-Language-Action Models (Autonomous Driving)
170 000 - 260 000$
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Описание вакансии
Текст:
TL;DR
Senior/Staff Research Engineer — Vision-Language-Action Models (Autonomous Driving) (AI/autonomous driving): Building and deploying Vision-Language-Action models that generate high-level driving decisions and trajectory guidance for autonomous trucks with an accent on large-scale training, on-vehicle validation, and onboard model compression. Focus on designing training and evaluation pipelines, applying SFT and RL post-training, and transitioning large reasoning models to onboard compute.
Location: Santa Clara, California, United States; hybrid workplace
Salary: $170,000–$260,000 per year
Company
is a Physical AI company developing AI-based virtual driver software for factory-built autonomous trucks, with operations in the United States and Europe.
What you will do
- Design, train, and evaluate Vision-Language-Action models for high-level driving decisions and trajectory guidance.
- Own a VLA workstream across data, architecture, large-scale training, and on-vehicle validation.
- Build training and evaluation pipelines with rigorous metrics for driving-context performance.
- Develop distillation and compression methods for deploying reasoning models on onboard compute.
- Apply supervised fine-tuning and reinforcement learning post-training to improve reasoning, robustness, and long-tail behavior.
- Collaborate with perception, planning, and platform teams to move models from research into production.
Requirements
- Master’s degree minimum in computer science, electrical engineering, mathematics, statistics, or a related field; Ph.D. preferred.
- 3+ years of implementing and training models with PyTorch, TensorFlow, or JAX.
- Hands-on experience training vision-language or vision-language-action models.
- Experience with model training, evaluation, and production deployment.
- Strong understanding of vision-language and VLA models, diffusion, flow matching, and transformers.
- Experience with large-scale or distributed model training.
Nice to have
- Experience with model distillation, quantization, inference optimization, ONNX/TensorRT, mixed precision, or custom kernels.
- Experience with supervised fine-tuning and reinforcement learning post-training of large multimodal models.
- Experience with camera, LiDAR, and radar data, autonomous driving, or ADAS.
- Publications at leading computer vision, machine learning, or robotics venues.
Culture & Benefits
- Work in an innovative, future-oriented autonomous driving environment.
- Professional development opportunities.
- Catered free lunch, unlimited snacks, and beverages.
- Competitive salary and benefits package, including a 401(k) plan.
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