1 day old
2018-07-162018-08-15

Senior Machine Learning Engineer

Xilinx
  • Job Code
    154972
Job Title: Senior Machine Learning Engineer 154972

Primary Location Ireland-Ireland-Saggart
Job: Hardware Engineering
Schedule: Full-time
Description

Senior Machine Learning Engineer

 

Based in our expanding Engineering Centre in Dublin, Ireland, we are recruiting outstanding engineers with a passion for Machine Learning & AI to lead the definition and specification of Xilinx next-generation architectures. PhD/MSc-qualified engineers, with a strong background in architectures for AI/ML, mathematical modelling and digital signal processing (DSP), will be at the forefront of identifying, specifying and developing new architectures for machine learning and how they will impact Xilinx next-generation products.

You will join a team whose architecture and systems activities cover a wide range of disciplines including machine learning for data center (HPC) and embedded computing (e.g., automotive ADAS) applications; emerging memory technologies; on-chip interconnects; specification, modelling and analysis of modern heterogeneous multicore architectures.

 

Responsibilities:

  • Identify key machine learning technologies and determine how they’ll impact Xilinx next-generation products.
  • Developing and mapping key algorithms, including machine learning (ML) algorithms, on Xilinx devices and define architecture requirements for next-generation products
  • Interfacing with Xilinx product teams to implement new architectures and compilers for programming modern multi-core architectures
  • Technically interact with Xilinx-internal engineering teams and Xilinx customers


Qualifications

Requirements:      

  • PhD/MS Degree in Computer Science, Electrical Engineering or related field
  • Strong background in AI/ML algorithms and Digital Signal Processing
  • Strong background in leading-edge Computer Architecture
  • Strong C/C programming experience
  • Strong communication skills, verbal and written

Beneficial would be domain background in one or more of the following areas:

  • Machine Learning frameworks (e.g., Caffee, TensorFlow) and libraries
  • Understanding of different types of AI/ML networks (e.g., CNN, LSTM, etc)
  • Programming modern parallel architectures (e.g., GP-GPUs using CUDA framework)
  • Architecture performance estimation
  • Flexibility, interest in technology and eagerness to learn

Xilinx is the leading provider of All Programmable FPGAs, SoCs, MPSoCs and 3DICs. Xilinx's all-programmable devices are designed into tens of thousands of products that improve the quality of the everyday lives of billions of people worldwide. For over 30 years, Xilinx has been behind some of the greatest advancements in technology and science - from the industry's first fabless semiconductor model to the NASA Curiosity Mars Rover, to today's autonomous vehicles and hyperscale datacenters. Xilinx uniquely enables applications that are both software-defined, yet hardware optimized - enabling smart, connected and differentiated applications across technology's biggest megatrends, including Machine Learning, 5G Wireless, Embedded Vision, Industrial IoT and Cloud Computing and more.

If you are a passionate, innovative and an out-of-the-box thinker that enjoys challenging projects, Xilinx is the right place for you. Our global team is growing and we are looking for bold, collaborative, and creative people to help deliver ground-breaking technologies that enable our customers to differentiate. Come do your best work and live your best life through collaboration, wellness and giving back to your community as a member of the ONEXILINX team.



Job Posting: Mar 12, 2018, 7:04:29 AM

Xilinx is an equal opportunities employer.

Categories

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Senior Machine Learning Engineer

Xilinx

Share this job

Senior Machine Learning Engineer

Xilinx

Separate email addresses with commas

Enter valid email address for sender.

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast