About the role

Silicon Verification Engineer

Multiple roles across different levels

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.

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. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.

The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery.

Responsibilities

Verification planning, specification and closure of functional coverage
Providing feedback to architects
Test generation and failure diagnosis/triage
Contributing to shared verification infrastructure
Ensuring good communication between sites

Essential skills:
• Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux

Desirable skills:
• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Skills & Tags

python java javascript go ai data design

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.
Synthesized from recent postings & public sources

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?