Deep Learning Software Engineer

Intel
Seattle, WA 98104
  • Job Code
    JR0187634
  • Jobs Rated
    8th
Job Description

As a member of our engineering community you will be collaborating across organizations to enable next generation machine learning computing capabilities. You will have the opportunity to contribute to industry-leading designs and be part of a team that will bring innovative AI usages to the PC market. Our goal is to delight our customers with synergistic hardware and software integration that will change the end state for AI in the PC ecosystem.

In this role, your responsibilities will include: Conduct design and development to build and optimize deep learning software. Design, develop and optimize for deep learning inference frameworks. Transform computational graph representation of neural network model. Develop deep learning primitives in math libraries. Profile DL models to identify performance bottlenecks and propose solutions across individual component teams. Optimize code for various computing hardware backends. Interact with deep learning researchers and deep learning frameworks experts.


Qualifications

You must possess the below minimum qualifications to be initially considered for this position Experience listed below would be obtained through a combination of your schoolwork classes research and or relevant previous job and or internship experiences. This is an entry level position and would be compensated accordingly.

Qualifications

Experience listed below would be obtained through a combination of your schoolwork classes research and or relevant previous job and or internship experiences. This is an entry level position and would be compensated accordingly.

  • Masters or PhD in Computer Science Computer Engineering or Electrical Engineering or comparable technical discipline
  • Must have the required degree or expect the required degree by December 2021. 2+ years of experience with the following skills: Programming in C/C++Fundamentals in computer architecture and operating systems - Fundamentals of deep learning CNNs and RNNs
  • Experience with common frameworks ex. Tensorflow, PyTorch ONNX Runtime. OpenVINO. 

Preferred Qualifications

  • Experience and familiarity with model optimization techniques - experience with machine learning compute accelerator like GPU, VPU
  • Knowledge of neural network graph compiler technologies
  • Knowledge and experience in performance engineering Parallel computing would be a plus
  • Knowledge of scripting languages such as Python

Inside this Business Group

Intel Architecture, Graphics, and Software (IAGS) brings Intel's technical strategy to life. We have embraced the new reality of competing at a product and solution levelnot just a transistor one. We take pride in reshaping the status quo and thinking exponentially to achieve what's never been done before. We've also built a culture of continuous learning and persistent leadership that provides opportunities to practice until perfection and filter ambitious ideas into execution.



Other Locations

US, California, Folsom;US, Oregon, Hillsboro


Intel Corporation will require all new U.S. employees to be fully-vaccinated for Covid-19 as a condition of hire unless they have an approved accommodation in place under applicable law. Newly-hired employees will be required to provide proof of vaccination prior to their start date.



Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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Deep Learning Software Engineer

Intel
Seattle, WA 98104

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Software Engineer
8th2017 - Software Engineer
Overall Rating: 8/199
Median Salary: $100,690

Work Environment
Good
53/199
Stress
Very Low
24/199
Growth
Very Good
32/199