Senior Staff Engineer, Graphcore
Debugger
More information about location
2+ days a week in office
Advanced AI systems and services
Open for applications
Advanced AI systems and services
201-500 employees
Open for applications
More information about location
2+ days a week in office
201-500 employees
Company mission
To make machine learning faster, easier and more intelligent.
Role
Who you are
- Proven experience in building debuggers
- Experience developing emulators and simulators
- Experience in designing or implementing debugger user interfaces
- Strong low-level programming skills in C, C++, or Rust
- Strong understanding of processor architectures
- Possess excellent written and oral communication skills, good work ethics, high sense of team-work
- Proactive, self-driven, and committed to delivering high-quality solutions
Desirable
- Experience of developing IDEs
- Experience with compiler toolchains
- Knowledge of debugging protocols and standards
What the job involves
- This is an exciting opportunity to join Graphcore in defining and implementing a next-generation debugger for our advanced AI processors
- In this senior role, you will specify the debugger’s core behaviour, design the user interaction model, and deliver a robust toolchain that enables developers to debug and optimise workloads running on Graphcore hardware
- You will work closely with our partners, hardware, software, and customer teams to ensure the debugger meets the needs of both internal and external users
- Reporting to the Modelling Team Leader, the Staff Engineer is responsible for supporting the delivery of software models of the next generation platforms to allow early software development
- They will work in close conjunction with our partners, the hardware and silicon teams on upcoming changes and also with the software teams who will be using the models
- Lead the architecture, design, and implementation of a debugger for Graphcore’s current and next-generation processors
- Collaborate with all colleagues within the software, firmware and hardware engineering teams
- Actively engage in and support Agile ways of working within the team
- Debug issues, resolve bugs and generally improve the quality and functionality of the product
- Mentor colleagues within the team, sharing knowledge and providing guidance where appropriate
- Support the team leader and technical leader when asked
Our take
Traditional hardware, mainly GPUs, used for training these models, comes at a high cost, both financially and environmentally, producing millions of dollars in expenses and hundreds of tons of greenhouse gases. In response, Graphcore is developing accelerator chips designed to expedite AI system training while significantly reducing power consumption.
AI accelerators like those crafted by Graphcore specialise in enhancing specific AI applications, such as artificial neural networks, deep learning, and machine learning. Utilising multicore designs and prioritising low-precision arithmetic or in-memory computing, these accelerators elevate the performance of large AI algorithms, achieving breakthrough results in natural language processing and computer vision.
Graphcore has ambitious plans to creat an AI supercomputer set to debut in 2024, aiming to be one of the most powerful in its class. The company is actively seeking strategic partnerships to bring this vision to fruition, signaling its commitment to shaping the future of AI computing.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Dec 2020
$222m
SERIES E
Feb 2020
$150m
SERIES D
Total funding: $682m
Company benefits
- Work-Life Balance: We believe you should have a good work-life balance. Everyone's situation is different, so we offer flexible working arrangements and start and finish times, allowing you to choose when to work from home or come into the office
- Wellbeing: We want to ensure that our employees have the resources and support they need to prioritise their health and wellbeing
- Healthcare: We offer Private Medical Insurance (PMI) to our employees to help them take care of their health and that of their loved ones
- Progression: We prioritise learning and development as an integral part of our culture at Graphcore. Our Talent Development team is dedicated to equipping all our employees with the necessary tools, resources, and support to enhance their skills and reach their full potential in their careers
- Pension: We believe that our employees deserve the best when it comes to planning for their future
- Income Protection: Graphcore understands that unforeseen circumstances can happen, and we want to ensure our employees have the necessary financial security in place
Company HQ
Old City, Bristol, UK
Leadership
Nigel Toon
(CEO)Previously the President and CEO at picoChip Designs (processors for telecoms). As well as the VP and GM of Europe at Altera (semiconductors, merged with Intel).
Simon Knowles
(CTO)Founded two successful semiconductor companies, Element14 and Icera, for a combined value of over $1 billion.
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