XPENG Motors
Senior Staff Machine Learning Engineer - AI Foundation
XPENG Motors, Santa Clara, California, us, 95053
XPeng Motors
is one of China's leading smart electric vehicle ("EV") companies. We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.
We are looking for a full-time Machine Learning Engineer - AI Foundation, with deep knowledge and strong enthusiasm towards
establishing a state-of-art
ML
infrastructure for training very large foundation model and accelerating model training/inference.
Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.
Job Responsibilities: Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles. Minimum Skill Requirements:
PhD in CS/CE/EE, or equivalent, in industry experience. Deep knowledge of PyTorch. Knowledge of model training framework (e.g. PyTorch Lightning) In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models. Experience of performing large scale distributed training of models. A track record of profiling model and doing detective work to improve model training and inference speed. Preferred Skill Requirements:
Previous experience in the autonomous driving industry. Experience with cuda or Triton language for writing custom ops. Knowledge of Nvidia TensorRT. Experience with edge computing systems. A track record of efficiently solving complex problems collaboratively on larger teams What do we provide:
A fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities
The base salary range for this full-time position is $220,000-$370,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.
is one of China's leading smart electric vehicle ("EV") companies. We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.
We are looking for a full-time Machine Learning Engineer - AI Foundation, with deep knowledge and strong enthusiasm towards
establishing a state-of-art
ML
infrastructure for training very large foundation model and accelerating model training/inference.
Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.
Job Responsibilities: Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles. Minimum Skill Requirements:
PhD in CS/CE/EE, or equivalent, in industry experience. Deep knowledge of PyTorch. Knowledge of model training framework (e.g. PyTorch Lightning) In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models. Experience of performing large scale distributed training of models. A track record of profiling model and doing detective work to improve model training and inference speed. Preferred Skill Requirements:
Previous experience in the autonomous driving industry. Experience with cuda or Triton language for writing custom ops. Knowledge of Nvidia TensorRT. Experience with edge computing systems. A track record of efficiently solving complex problems collaboratively on larger teams What do we provide:
A fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities
The base salary range for this full-time position is $220,000-$370,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.