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Bhjob15656_20166 - Head Architect - Big Data Asic

Company

Myticas Consulting

Address Canada
Employment type FULL_TIME
Salary
Category IT Services and IT Consulting,Software Development,Telecommunications
Expires 2023-10-11
Posted at 9 months ago
Job Description

The recruitment team at Myticas Consulting is looking for an experienced Big Data ASIC Architect who would be interested in a full-time permanent opportunity offered within North America.


Responsibilities:

  • Generate intellectual property such as patents and trade-secrets from research findings
  • Be able to understand both internal and external customer requirements and translate them into technical solutions
  • Be able to influence stakeholders on technical planning and investigation direction for our client's big data solution
  • Be able to generate insights from the industry and academic trends of big data analytics, and propose technical strategy and roadmap
  • Act as a technical leader of our global team and lead the technical team to complete end-to-end delivery
  • Be able to lead the architecture design of new computing infrastructure and ASIC chips for data-intensive application


Job Requirements


Your Background:

  • Expertise in VHDL/Verilog or similar with additional coding experience in C, C++ or similar low-level languages
  • Familiar with FPGA tools from Xilinx/AMD and/or Intel and have experience of taking multiple complex designs through at least one of these toolchains
  • At least 8 years of experience and a proven track record of optimally delivering many complex RTL designs targeting large FPGAs/ASICs
  • Exceptional ability to effectively work individually in a multi-zone and multi-site team
  • In depth knowledge of design, development, verification and synthesis of hardware designs for FPGAs/ASICs. Should be fluent in multiple languages/tools related to FPGA/ASICs development (e.g. Verilog, VHDL, SystemC etc.)
  • Strong communication, presentation and collaboration skills to lead a global team and leverage resources from the industry and academy
  • Understanding of big data and deep learning concepts is an asset
  • BS, MSc, or PhD in Computer Science, Software Engineering, or Computer Engineering