Job Location: Santa Clara, CA
Job Description
In this role, you will conduct design and development to build and optimize deep learning framework software. Design, develop and optimize the Deep Learning infrastructure for deep learning training and inference frameworks targeting Intel CPU and GPU platforms. Develop high-performance and highly parallel software implementations for future Intel CPUs and GPUs and conduct performance projections/tuning using simulator. Implement various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in deep learning frameworks. Transform computational graph representation of neural network model. Develop optimized deep learning operation primitives using math libraries. Profile distributed 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.
The ideal candidate should exhibit strong communication skills and works well in a team environment.
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 school, work, classes, research and/or previous experiences.
Minimum Qualifications
- Masters Degree in Computer Science, Computer Engineering or Electrical Engineering with experience in AI/Deep Learning software performance optimizations and high-performance computing.
6+ months of experience with the following skills
- Python, C/C++ and CUDA
- Low level programming and performance optimization for CPU and GPU including code generation, performance optimization, distributed compute and resource management
- Experience with Deep Learning algorithms
- Familiarity with DL frameworks (e.g. TensorFlow, PyTorch, Mxnet, Caffe, etc.)
Preferred Qualifications
- Experience in Machine Learning infrastructure development and optimization (framework, ML pipeline, deployment)
- Experience in CUDA, OpenCL and GPU programming including compute kernel development and optimizations
- Experience in Machine Learning acceleration through model compression, quantization and distillation.
- Experience in high performance computing, high performance networking, distributed computing algorithms and systems
- Experience in cloud computing and system integration
Inside this Business Group
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.
Covid Statement
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.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html
Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
In certain circumstances the work model may change to accommodate business needs.
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