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.

Minimum Qualifications

• Master's degree in Computer Science, Computer Engineering or a related technical discipline and 2+ years of work experience; OR PhD in Computer Science, Computer Engineering or a related technical discipline

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 such as Tensorflow, PyTorch ONNX Runtime, or 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

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

Other Locations

US, California, Folsom;US, Oregon, Hillsboro

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.