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Job ID: JR0174784
Job Category: Engineering
Primary Location: Hillsboro, OR US
Other Locations: US, Arizona, Phoenix;US, California, Folsom;US, California, Santa Clara
Job Type: Experienced Hire

Deep Learning Software Engineer

Job Description

If you are looking to make a huge impact for Intel across Discrete GPUs for AI, software products including oneAPI and win worldwide AI software ecosystem on our Data Center targeted Discrete GPUs, then read ahead .This is a engineering role in AI within IAGS. The role spans working with customers across multiple internal and external stakeholders and customers

As Deep Learning software engineer, you will be involved from Pre-Silicon enabling activities to actually undertaking performance tuning and optimization of deep learning models based on TensorFlow and Pytorch for successful deployment by our customers. Additionally, you will be expected to influence Intel Discrete GPU hardware capabilities for AI as well as AI software stack for oneAPI. This is a high impact role working with customers and driving their success, while making Intel a world leader in AI by influencing our discrete GPU and software products.
We are in startup-up like environment, you should love ambiguity, be able to juggle multiple-tasks and able to make forward, demonstrable progress that delivers impact. You will have an opportunity to collaborate with Engineering Leaders across Intel and be able influence technical leaders.


Qualifications

Minimum Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, Physics,  Mathematics or any other relevant discipline with 3+ years of work experience OR Master's degree in Electrical Engineering, Computer Science, Computer Engineering, Physics,  Mathematics or any other relevant discipline and 2+ years of work experience
  • 1+ years of experience in deploying/optimizing distributed training on CPU/GPU clusters
  • 1+ years of experience in one or more of the following areas: Python, Tensor Flow, Caffe, Pytorch, MXNet
  • 1+ years of experience working in Machine Learning or AI in one of the following roles: Developing, architecture, implementing or performance bench marking AI workloads

Preferred Qualifications

  • PhD in Electrical Engineering or Computer Science or Computer Engineering or Physics or Mathematics or any other relevant discipline
  • Prior experience in Cloud deployment strategies, Cloud Developer Environments (AWS, GCP, Azure, Containers) and having any cloud certification is a definite plus.
  • Experience at preparing, facilitating and delivering training to key customers including events such as conferences, industry events, labs, and customer workshop.
  • Experience or training in one or more of the parallel programming methodologies: CUDA, OpenMP/MPI, OpenCL,  SYCL, C++

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 level—not 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, Arizona, Phoenix;US, California, Folsom;US, California, Santa Clara



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.

USExperienced HireJR0174784
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