About the role
About the job
Design the hardware that powers the next generation of AI systems.
As a Hardware Development Engineer, you will turn complex system requirements into production-ready hardware. You will work across circuit design, validation and system bring-up for Graphcore’s AI compute platforms.
You will collaborate closely with silicon, architecture and software teams to solve hard engineering problems early. Your work will directly influence system performance, reliability and manufacturability at scale.
This role combines deep technical ownership with hands-on experimentation. You will design, debug and optimise advanced processor systems used to train and run demanding AI workloads.
The team and culture
Graphcore’s Hardware Engineering team builds production systems and validation platforms based on our IPU processors. The team works close to the technology, with fast feedback between design, firmware and system architecture.
Engineers here take ownership from concept through to production support. Decisions are driven by technical insight, practical experimentation and collaboration across disciplines.
You will work with experienced engineers who care deeply about solving difficult problems well. People speak up, move quickly and support each other to deliver meaningful progress.
What we’re looking for
- Knowledge of DCDC voltage (including multi-phase) regulators, linear regulators and PCB design requirements for efficient power delivery
- Processor system development, as STM32, with experience in processor interfaces such as Ethernet, PCIe, DDR, FLASH, USB, I32C, QSPI, JTAG etc
- Experience in with high-speed SERDES
Other experience required:
- Demonstrable experience in digital circuit development and validation
- Extensive practical lab experience, bringing up, debugging and validating designs
- Expertise in the use of high-speed digital oscilloscopes, logic analysers and signal generators
- Experience in scripting (Linux, Python, Bash) of tests and Excel to analyse results
- Knowledge of server architecture (BMC, Nic, SSD)
- Autonomy and able to take initiative
- Cross collaboration experience working across different disciplines and people
Benefits
- Unlimited annual leave
- Up to 5% matched pension
- Phantom equity – share in Graphcore’s success
- True flexibility in how and where you work
- Office spaces designed for collaboration
- Free food and an on-site barista
- Health cash plan
- Income protection
- Life assurance
- Along with other benefits you can choose from (private medical insurance, dental plan etc)
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.
Join the Team at Graphcore
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.
If you want to build hardware that shapes the future of AI compute, we’d love to hear from you. Apply now to join Graphcore in Bristol.
Aplyr's read
Graphcore is a cutting-edge semiconductor company focusing on AI and machine learning hardware, appealing to engineers interested in high-performance computing and innovative chip design.
What's promising
- •Graphcore's IPU technology is at the forefront of AI hardware innovation.
- •The company has secured significant funding, indicating strong investor confidence.
- •Graphcore's partnerships with major tech firms enhance its industry credibility.
What to watch
- •Graphcore faces intense competition from established players like NVIDIA.
- •The company's financials are not publicly available, limiting transparency.
- •Market adoption of IPU technology remains uncertain in the face of GPU dominance.
Why Graphcore
- •Graphcore's IPU is specifically designed for AI workloads, unlike traditional CPUs and GPUs.
- •The company emphasizes a software ecosystem tailored to its hardware.
- •Graphcore is known for its collaborative culture and focus on cutting-edge research.
Aplyr’s read is generated by AI from public sources. Was it useful?
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