NIO San Jose , CA 95111
Posted 2 weeks ago
JOB DESCRIPTION
About NIO
NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO's mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.
NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.
NIO's product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.
Responsabilities:
deploy them on distributed and heterogenous hardware.
Qualifications:
Computer Engineering, Applied Mathematics, Communication, Electronics.
Knowledge of GPU architecture and bottlenecks.
Good understanding of LLM models, diffusion models and video summarization models(LSTM/ViT/Diffusion).
Proficient in Python, AI-related training and inferencing tools such as PyTorch.
Experience with model serving technologies such as Open Neural Network Exchange (ONNX).
Experience with debugging code in distributed environments.
Knowledge of different vision and video model evaluation tasks such as Kinects400,
Moments in Time, etc.
Compensation:
The US base salary range for this full-time position is $38.00 - $46.00.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.
NIO