In this role, you will be responsible for verification of the quality of TensorFlow on Windows platforms. This includes ensuring the functionality and performance of TensorFlow, triaging the functionality and performance issues, as well as building and releasing the binary to the world-wide TensorFlow community. In this position, you will have the chance to collaborate with diversified teams (from Intel and its partners) on full stack machine learning optimization and validation and explore the most advanced Intel hardware platforms.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school-work/classes/research and/or relevant previous job and/or internship experiences.

Minimum Qualifications

• Bachelors with 2 or more years or Masters degree in computer science or electrical engineering or computer engineering or related technical discipline

1+ years of academic/industrial experience with the following technical skills:

• Candidate should be familiar with deep learning algorithms and models.
• Excellent performance analysis and tuning skills
• Proven track record of deliver result in time on short release cycle
• Excellent development and debugging skills
• Experience in deep learning frameworks such as TensorFlow, PyTorch, MXNet etc..
• The candidate should be solid on at least one of the two programming languages (Python/C++)
• Experience working with Windows and Visual studio and/or Clang.
• The candidate should have experience building and troubleshooting issues with Windows system, e.g. native windows, Windows in VMs, Cygwin, WSL etc.

Preferred Qualifications:

• Have improved performance for one of the frameworks is a plus
• Have implemented new model on one of the frameworks is a plus
• Have ported a model from one framework to another is a plus
• Have used existing model to improve state-of-art of empirical problem is a plus
• Have used Bazel and Jenkins is a plus

The Machine Learning Performance (MLP) division is at the leading edge of the AI revolution at Intel, covering the full stack from applied ML to ML / DL and data analytics frameworks, to Intel oneAPI AI libraries, and CPU/GPU HW/SW co-design for AI acceleration. It is an organization with a strong technical atmosphere, innovation, friendly team-work spirit, and engineers with diverse backgrounds. The Deep Learning Frameworks and Libraries (DLFL) department is responsible for optimizing leading DL frameworks on Intel platforms. We also develop the popular oneAPI Deep Neural Network Library (oneDNN), and new oneDNN Graph library. Our goal is to lead in Deep Learning performance for both the CPU and GPU. We work closely with other Intel business units and industrial partners. 

Other Locations

US, Arizona, Phoenix;US, Georgia, Atlanta;US, Oregon, Hillsboro;Virtual US and Canada

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

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.

Annual Salary Range for jobs which could be performed in US, Colorado:
$100,860.00-$151,260.00

Intel is committed to a culture of accessibility.  Intel provides accommodations to applicants and employees with disabilities.  Find information and request accommodation here