AI Research Scientist/Engineer

3 days ago


Santa Clara, California, United States Intel Full time
Job Overview:

The Emerging Visual-AI Systems Research team at Intel Labs is seeking a highly skilled AI Research Scientist/Engineer to drive technology innovation for future industry needs. As a key member of the team, you will investigate, implement, and drive new AI optimization and acceleration techniques within Intel's HW and SW products.

Responsibilities:

  • Develop and apply state-of-the-art AI model optimization techniques, including quantization, sparsity, and run-time systems.
  • Collaborate with partners to drive research agenda and maintain substantial knowledge of state-of-the-art principles and theories.
  • Contribute to scientific literature and the research community-at-large, and participate in the development of Intellectual Property.

Requirements:

  • Bachelor's/BS with 6+ years or master's degree with 4+ years, or PHD with 2+ years of experience in Electrical Engineering, Computer Engineering, Computer Science, or a relevant engineering discipline.
  • 3 or more years of experience in AI optimizations and acceleration, HPC or run-time optimizations, computer architecture, accelerator design, quantization, model compression, and generative AI models.
  • Solid publication record at top-tier conferences such as NeurIPS, MLSys, ICLR, AAAI, etc.
  • Parallel Multithreading programming and concurrency models.

Preferred Qualifications:

  • Experience with distributed computing, AI compilers.
  • Ability to drive early-stage research projects with risks and ambiguity.

What We Offer:

We offer a total compensation package that ranks among the best in the industry, including competitive pay, stock, bonuses, and benefit programs. Find more information about our benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html

Annual Salary Range for jobs which could be performed in the US: $186,552.00-$279,772.00

Work Model for this Role:

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.

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