Deep Learning Software Engineer

Intel
Hillsboro, OR 97123
  • Job Code
    JR0186413
  • 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 worlds 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), and 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. 

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 TensorFlow and PyTorch, 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 product 
  • 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 minimum qualifications below 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 to be obtained through coursework/ research/ internships.

  

Minimum Qualifications: 

  • Bachelors with 3+ years or Masters with 1+ years of relevant industry experience  in Computer Science or Computer Engineering or Electrical Engineering or  Mechanical Engineering or  Mathematics or Physics or related technical discipline.

2+ years of experience with the following skills: 

  • Excellent SW development skills in C++ (1+ year in large code base) 
  • 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 

1+ years of experience with the following skills: 

  • Solid computer architecture knowledge including vector, multicore, and memory hierarchy 
  • Solid knowledge of graph algorithms relevant to deep learning graph and compiler optimization 
  • 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 
  • 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

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, California, Santa Clara



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
Hillsboro, OR 97123

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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