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Job ID: JR0027825
Job Category: Engineering
Primary Location: San Jose, CA US
Other Locations: US, California, San Diego;
Job Type:

Machine Learning Software Engineer

Job Description

The Intel Programmable Solutions Group (PSG) is looking for talented, highly motivated candidates to work intimately with our lead customers to co-develop FPGA based Autonomous Driving systems. Working alongside Intel processors, the FPGA is delivering a highly efficient, flexible and scalable platform to solve our automotive customers’ intricate processing challenges.

You will work and collaborate in a rapid learning environment, alongside industry experts and the most innovative automotive manufacturers to accelerate next generation autonomous driving algorithms through highly optimized embedded FPGA implementations. Our innovation driven environment will encourage you to become a self-starter and a leader to solve most challenging technical problems.

Technical development will be varied, including Algorithm implementation optimized for FPGA, High Level Synthesis flows, SW Development, full lifecycle development (including design, verification, debug. The successful candidate will have a proven ability to understand complex algorithms, and map them efficiently to FPGA based platforms.

Autonomous vehicles are a key element of Intel’s strategy over the next decade. Technologies are moving rapidly as are market needs. The right candidate will be excited and energized by these dynamic challenges. Your opinions and thoughts are valued from day one.

The successful candidate will gain immediate visibility of the impact of their work and directly drive business success.

Key Responsibilities:

  • Hands on OpenCL and Machine Learning SW API
  • Development of Autonomous Driving algorithms targeting FPGA
  • Work in partnership with strategic customers to implement production quality Autonomous Driving algorithms on the FPGA.
  • Develop and deliver embedded vision algorithmic benchmarks, proof-of-concept and solutions, demonstrating the value of the FPGA

Please be informed that Intel is proactively trying to find candidates for a position and that may, or may not, be available for all location(s) at this time. If you're interested in this position, we would encourage you to apply, and our hiring team will be glad to contact you if/when relevant.



Qualifications

  • M.S. in Electronic Engineering, Computer Science or related degree
  • Experience of 2 years or 2 different internships in field of SW and Algorithms design.
  • 2 year in Software Development using C/C++ or OpenCL or CUDA
  • 1 year Experience with Machine Learning SW Frameworks

Preferred (Additional) Qualifications include hands-on experience with
  • MATLAB/ Simulink
  • C/C++, OpenCL, CUDA
  • SW API Programming
  • Embedded systems and Real-Time OS
  • Verilog or VHDL design for FPGA
  • Background in Artificial Intelligence, Deep Learning, Machine Vision, Video, Signal and Image Processing

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.



Other Locations
US, California, San Diego;


Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

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