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Deep Learning Engineer
Full Time: Cupertino, California Part Time: Remote
Responsibilities:
  • Specialize in Google Cloud / AWS tech stacks
  • Familiarity with LLM technologies, particularly with the Transformers library
  • Experience with model compression is a plus
  • Knowledge of model deployment on edge device is a plus
  • Contribute to the development of our SDKs across multiple platforms, including Android, iOS, and Linux
You may be a good fit if you:
  • 2+ years of professional experience
  • Minimum BS/MS in Computer Science
  • Excellent understanding of computer science fundamentals, including data structures, algorithms, and coding
  • Knowledge of operating system internals, compilers, and low-power/mobile optimization
  • Experience with low-level programming in C and frameworks like CUDA, OpenCL
  • Proficiency in multithreading and performance optimization
Logistics:
  • Part Time 20hrs+/week
  • Full Time
How to apply:
Send your resume to career@nexa.ai