Electric-Vehicle Machine Learning Systems Engineer 7 views


As a member of the Autopilot Vision team you will research, design, implement, optimize, train and deploy neural network models that advance the state of the art in autonomous driving. A strong candidate will ideally possess at least one strong expertise in the following areas, and at least a basic familiarity in others.


Design and develop state-of-the-art deep learning architectures in one or all of the following areas: object recognition, semantic segmentation, object detection, etc.
Conduct performance analysis and optimize neural networks training code.
Improve compute and memory efficiency of neural network training.
Optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded device.
Integrate embedded code with the larger Tesla Autopilot development team to introduce new features and capabilities to Tesla’s vehicles.
Closely follow academic developments in the field of machine learning.

BS, MS or PhD in Distributed Systems, Computer Architecture, High Performance Computing, Machine Learning, or related field.
Knowledge of computer architecture, and emerging deep learning accelerators. CUDA or OpenCL programming experience is a plus.
Relevant work or research experience in performance analysis and compiler optimizations.
Distributed systems programming or numerical methods experience.
Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
Experience with machine learning algorithms and frameworks, especially frameworks such as Pytorch, TensorFlow etc.
Display a real passion and knowledge of the latest developments in DL and AI.
Ability to work independently and lead your own development effort.


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  • Company Tesla
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Electric Vehicles and Storage sectors
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  • Address CA North
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