Deep Learning Software Engineer

Intel
Santa Clara, CA 95050
  • Job Code
    JR0184262
  • Jobs Rated
    8th
Job Description

Do you have a strong passion for optimizing cutting-edge HPC, datacenter, and client SW for maximum performance on the latest HW? We are looking for individuals who are interested in optimizing the world's leading Machine Learning / Deep Learning frameworks for current and future Intel datacenter/client CPUs and GPUs. This is a product development position with the end goal being high-quality, high-performance, secure product SW that makes the latest cutting-edge HW shine. You will start optimization pre-silicon and have access to HW shortly after it is first powered on. Product innovation and publication is encouraged and there are some opportunities to collaborate with research partners to develop ideas and translate them into the product. 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). 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.

You will work on software development and optimizations in the following areas:

  • Analyze Deep Learning models and framework implementations to identify performance bottlenecks and optimization opportunities
  • Accelerate the frameworks, such as PyTorch and TensorFlow, on Intel platforms by contributing optimizations and features directly to the public framework source or to pluggable open source extension modules.
  • These frameworks are primarily written in C++ and Python
  • Develop low-precision high-performance versions of popular models to take advantage of new instructions and architectures designed to accelerate deep Learning
     

An ideal candidate would exhibit behavioral traits that indicate:

  • Ability to work in a dynamic and team-oriented environment
  • Ability to work closely with teammates at multiple US sites as well as with closely related teams in other countries working virtually together on the same products
  • Positive can-do attitude, desire to deliver results and winning products Excellent written and oral communication skills.
  • You should have a passion for optimization and performance at the low level, close the HW, as well as for good SW engineering practice and usability.

 


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. This is an entry level position and would be compensated accordingly.

Minimum Qualifications

Bachelor's with 3 or more years or Master's with 3+ months of relevant industry experience in Computer Science or Computer Engineering or Robotics Engineering or Electrical Engineering or Mathematics or Physics.

Must have the required degree by June 2021.

6 or more months of experience with the following skills:

  • Excellent SW development skills in Python and/or C++
  • Developing or optimizing Deep Learning models using PyTorch and/or TensorFlow
  • Solid experience with low-level software development and optimization of computation and memory for high performance
  • Solid experience programming and debugging applications on Linux systems including multithreaded applications
  • Solid performance analysis skills


Preferred Qualifications:

  • More 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
  • MLPerf benchmarks
  • Using high-performance math libraries
  • Designing APIs, especially user visible APIs

Inside this Business Group

The Data Center Group (DCG) is at the heart of Intels transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologiesspanning software, processors, storage, I/O, and networking solutionsthat fuel cloud, communications, enterprise, and government data centers around the world.



Other Locations

US, Arizona, Phoenix;US, California, San Diego;US, Oregon, Hillsboro



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.

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Deep Learning Software Engineer

Intel
Santa Clara, CA 95050

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Software Engineer
8th2017 - Software Engineer
Overall Rating: 8/199
Median Salary: $100,690

Work Environment
Good
53/199
Stress
Very Low
24/199
Growth
Very Good
32/199