The ad says“Proficiency in software design and development using Python and C++”
The ad says“Experience in convex optimization, computational geometry or linear algebra”
The ad says“Experience in convex optimization, computational geometry or linear algebra”
The ad says“Experience in GPU/CUDA/TensorRT”
The ad says“Experience working with large-scale datasets, data preprocessing, and pipeline management”
The ad says“Experience with deep learning research and tools”
The ad says“Experience in GPU/CUDA/TensorRT”
The ad says“Experience in applying ML/DL for behavior prediction, imitation learning, motion planning”
The ad says“Experience working with large-scale datasets, data preprocessing, and pipeline management”
The ad says“Experience in convex optimization, computational geometry or linear algebra”
The ad says“Strong background in deep learning, with experience in model design, training and evaluation”
The ad says“Strong background in deep learning, with experience in model design, training and evaluation”
The ad says“Strong background in deep learning, with experience in model design, training and evaluation”
The ad says“Experience in applying ML/DL for behavior prediction, imitation learning, motion planning”
The ad says“Experience working with large-scale datasets, data preprocessing, and pipeline management”
The ad says“Proficiency in software design and development using Python and C++”
The ad says“Experience in GPU/CUDA/TensorRT”
Work with experts in the field of self-driving vehicles on designing and developing large-scale foundation models trained on vast amounts of real world data
Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars
Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs)
Design and implement multi-modality and multi-task perception models focusing on 3D object detection and tracking, segmentation, semantics understanding, video understanding, scene understanding, traffic control, or trajectory prediction, etc
Optimize deep learning models to run robustly under tight run-time constraints
This position is fully onsite in Fremont, at least 3 months
Benefits
Comprehensive medical, dental, and vision insurance
Generous PTO and paid holidays
Daily meals and bi-weekly happy hours
Equity opportunity
Retirement plans
Frequent tech talks
Preferred experience
Preferred graduate before Dec 2026
Proficiency in software design and development using Python and C++
Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field
Experience with deep learning research and tools
Experience working with large-scale datasets, data preprocessing, and pipeline management
Strong background in deep learning, with experience in model design, training and evaluation
Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI
Experience in applying ML/DL for behavior prediction, imitation learning, motion planning
Experience in convex optimization, computational geometry or linear algebra
Experience in deploying deep learning algorithms for real time applications, with limited computing resources
Experience in GPU/CUDA/TensorRT
Previous internships involving large-scale deep learning models and systems
Recruitment process
This position is rolling based and it can start any time
