The role
Our GPU & AI Hardware IP teams need incredibly performant build and test workflows to help them deliver our upcoming IP roadmap - so we need a talented software engineer to help us build a revolutionary new automation system, and to keep our workflows running 24/7.
This is a pioneering team with no bureaucracy – engineering-led, iterating fast. We have a mandate for radical change.
We are building a new “designed for AI” automation system that uses AI, ML and algorithms to relentlessly optimise the workloads we execute across our on-prem and cloud compute resources. This automation systems will enable our teams in research, hardware, and software, to schedule and trigger benchmarks and workloads on versions of our IP, to run on a variety of platforms (compute, emulation, FPGA, and real devices) then view real-time data and insight via a data platform and algorithms.
You will join us at the beginning of this exciting project and will help us to build production infrastructure and workflows, to migrate existing and new tools, and to capture and display data for humans and algorithms to consume.
Alongside all this new investment we need to keep the existing solutions running 24/7
We are looking for a talented software engineer who is experienced in at least one part of our stack, who is excited by the chance to move old flows to new, who may wish to be an individual contributor or would lead/ line-manage a team of up to six people.
You will:
- Collaborate with colleagues to create automation systems that transparently execute hardware IP tools and workloads - across cloud/ on-prem compute and on hardware emulators