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Machine Learning Developer

Intel


Location:
Toronto
Date:
08/21/2017
2017-08-212017-09-19
Job Code:
JR0030553
Categories:
  • IT Engineer
  • Developer
  • Programmer
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Job Details

Machine Learning Developer Careers at Intel in Toronto, ON
   
Job ID: JR0030553
Job Category: Engineering
Primary Location: Toronto, ON CA
Other Locations:
Job Type: College Grad

Machine Learning Developer

Job Description

Develop Machine Learning solutions in form of libraries and accelerators for FPGA, SW stacks, and APIs using the Intel's FPGA SDK for OpenCL Benchmark the Machine Learning solution against competitive tool flows and solutions and then optimize the FPGA solution to ensure it delivers industry leadership and the highest quality design for the FPGA. Designing Compiler Optimizations for Intel's FPGA SDK for OpenCL, which enables software programmers to use OpenCL to program FPGAs.

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 relevant previous job

Minimum qualifications:
-    Bachelor's or Masters in Computer Engineering or related field.
-    6 (+) months experience with C, C++
-    6 (+) months experience with developing software in Linux and/or Windows, 
-    6 (+) months of experience with Verilog and/or VHDL 
-    6 (+) months of test infrastructure and scripting environments experience using Perl or Python

Additional Qualifications:
-    Experience with parameterizable automation of logic generation and verification. 
-    Experience with implementing and verifying digital logic. 
-    Experience with hardware debugging and validation using equipment such as function generators, oscilloscopes, and testers. 
-    Excellent verbal and written communication, collaboration skills, and cross-functional leadership.


Qualifications

As part of Intel, you will have the opportunity to bring machine learning into all industries: from autonomous driving to the cloud. Specifically, we are looking for talented engineers to accelerate machine learning algorithms on spatial processors known as FPGAs. The successful candidate will be writing OpenCL and Verilog for FPGAs and developing machine learning APIs and software stacks, in C and C++, that will link our deep learning technology to standard machine learning frameworks such as TensorFlow and Caffe. Additionally, you will have to deploy production deep nets on the FPGA in the area of image classification, language parsing, and object localization. You require both hardware and software engineering skills, be able to manage complex projects, and be part of a dynamic team working on state-of-the-art technology. If you think this is a right fit for you, please apply to Intel's machine learning group in Toronto.

Inside this Business Group

The Programmable Solutions Group (PSG) was formed from the acquisition of Altera. As part of Intel, PSG will create market-leading programmable logic devices that deliver a wider range of capabilities than customers experience today. Combining Altera's industry-leading FPGA technology and customer support with Intel's world-class semiconductor manufacturing capabilities will enable customers to create the next generation of electronic systems with unmatched performance and power efficiency. PSG takes pride in creating an energetic and dynamic work environment that is driven by ingenuity and innovation. We believe the growth and success of our group is directly linked to the growth and satisfaction of our employees. That is why PSG is committed to a work environment that is flexible and collaborative, and allows our employees to reach their full potential.

   

As an electronics industry innovator and a leader in corporate responsibility, we look for ways to apply our technology to address global challenges while serving as a role model for how companies should operate.

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