Conducts design and development to build and optimize AI software. Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and to contribute to external frameworks (e.g., TensorFlow, PyTorch). Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks. Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries. Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams. Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Qualifications listed as preferred or additional will be considered a plus factor for applicants.

Minimum Qualifications:

• Bachelor's with 6+ years or Master's with 4+ years or PhD with 2 years of relevant industry experience in Computer Science or Computer Engineering or Electrical Engineering or Physics or Mechanical Engineering or related technical disciplines.

4+ years of experience with the following skills:

• Excellent SW development skills in C++ (4+ years in large code base)
• Advanced experience with low-level software development and optimization of computation and memory for high performance
• Advanced experience programming and debugging applications on Linux systems including multithreaded applications

Preferred Qualifications:

• Extensive experience with low-level software development and optimization of computation and memory for high performance on parallel HW
• Experience with:
• Performance on Intel CPU, GPU
• Applications involving linear algebra such as matrix multiply
• HPC applications and distributed computing
• Compiler optimization development
• Understanding of Deep Learning algorithms
• Deep Learning frameworks
• Developing or optimizing Deep Learning models, especially low precision models
• MLPerf benchmarks
• Using high-performance math libraries
• Designing APIs, especially user visible APIs
• Professional development experience in 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, Arizona, Phoenix;US, California, San Diego;US, California, Santa Clara

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.