Auto AI Systems Engineer (NM+)
Minimum Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 1+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Preferred Qualifications:
- Good at software development with excellent analytical, development, and problem-solving skills.
- Strong understanding of Machine Learning fundamentals
- Hands-on experience with deep learning network design and implementation. Ability to define network from scratch in PyTorch, ability to add new loss function, modify network with torch.fx. Adept at version control system like GIT.
- Experience in neural network quantization, compression, pruning algorithms.
- Experience in deep learning kernel/compiler optimization
- Strong communication skills
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