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GPU Software Engineer - Remote

microTECH Global Limited

London

Remote

GBP 80,000 - 100,000

Full time

30+ days ago

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Job summary

An innovative firm is on the lookout for talented Software Development Engineers and Senior Architects to join their dynamic engineering teams. This role involves working on groundbreaking silicon IP solutions that intersect with compute, graphics, AI processing, and more. Candidates will have the chance to leverage their expertise in modern software design practices, computer graphics APIs, and RTL design to deliver game-changing solutions across multiple applications. If you are passionate about technology and eager to make a significant impact in a forward-thinking environment, this opportunity is perfect for you.

Qualifications

  • Experience with computer graphics APIs like OpenGL or Vulkan is essential.
  • Strong knowledge in C++ and RTL design in Verilog is required.

Responsibilities

  • Develop innovative silicon IP solutions for various applications.
  • Collaborate with engineering teams to implement cutting-edge technologies.

Skills

Computer graphics APIs (OpenGL, Vulkan)
RTL design in Verilog
ARM/RISC-V architecture concepts
Modern software design practices in C++
Knowledge of compilers and tool chains
Computer architectures
Docker containers
FPGA tool flows

Tools

Docker

Job description

Our client is building innovative new silicon IP solutions intersecting compute, graphics, AI processing, security, communications, memory, and other interfaces. They aspire to deliver game-changing IP solutions for use in multiple applications across our target markets.

They are seeking multiple candidates from intermediate-level Software Development Engineers to highly-experienced Senior Architects to join their engineering teams.

You must have demonstrated experience with some of the following technologies:

  • Computer graphics APIs such as OpenGL or Vulkan
  • RTL design in Verilog
  • ARM/RISC-V architecture concepts
  • Modern software design practices in C++
  • Knowledge of compilers and tool chains
  • Computer architectures
  • Docker containers
  • FPGA tool flows
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