Familiarity with Big Data frameworks and database server development
Basic knowledge in linear algebra, deep learning, and statistics
Responsibilities
Design and develop acceleration techniques for heterogeneous platforms
Lead technical discussions and provide guidance to the team
Implement and benchmark AI algorithms across xPU/FPGA systems
Enhance performance of adaptive engines on different platforms
Collaborate with team members for effective problem-solving
Benefits
Technical leadership opportunities
Collaboration in a team-focused environment
Opportunity to work on cutting-edge AI technologies
Chance to benchmark and implement scalable solutions
Professional growth through hands-on experience in advanced computing platforms
Full Job Description
Duration: 24-Dec-2018 - 21-Jun-2019
Description: Responsibilities • Design, develop and improve acceleration techniques for heterogeneous platforms • Work with team members providing technical leadership • Implement and benchmark large scale AI algorithms over xPU/FPGA • Improve performance of our adaptive engine on various platforms • Provide technical guidance to your fellow team members
Preferred Technical and Professional Experience: • 3+ years experience in development on FPGA/ASIC/GPU • 2+ years experience in distributed/parallel computing environment • 1+ years experience in machine learning or data analytics • Experience in Big Data frameworks, database server development is a plus • Basic knowledge in linear algebra, deep learning, statistics • Required Education: MS or Doctorate Degree
