Job Description
About the Role
We are seeking an experienced candidate to lead the miniaturisation of our cutting-edge probabilistic computing platform. This role is to own the ASIC architecture of Quantum Dice's probabilistic computing processor end-to-end: from algorithm and ISA through partitioning, microarchitecture, and tape-out.
Key Responsibilities
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Requirements analysis
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System-level and algorithm understanding, HW/SW co-design: arithmetic implementation in hardware. Analysis of programmability, fixed functions, hardware implementation, and host requirements.
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Functional simulation & building models to drive architectural decisions.
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System-level architecture & ISA definition: turn workloads into system architecture and instruction set architecture / dataflow models.
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Trade-off analysis (timing, power, area), own partitioning with physical design awareness
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Detailed specifications for microarchitectures:
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RTL requirements definition
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Memory hierarchy
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On-chip and inter-chip connectivity
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Interfacing (analogue domain and software)
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Overseeing internal IP development & 3rd party IP evaluation
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Lead the design through verification, signoff, tape-out and bring-up.
Required qualifications
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Architectural ownership of >= 1 ASIC taken to successful tape-out (preferably compute accelerator, inference engine, DSP)
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Hands-on performance modelling (in Python, C++ or equivalent), trade-off analysis & simulation which drove your architectural decisions.
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Industry tool flow experience (e.g. Synopsys, Cadence, or Siemens)
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Solid grasp of timing, power and area trade-offs at the architectural level.
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Experience defining HW/SW interfaces and working with firmware/compiler teams
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Strong RTL design experience & defined verification strategies on architectural level
Why Join Us?
You’ll be at the forefront of next-generation computing, shaping a platform that redefines performance and efficiency. This is an opportunity to lead innovation in a rapidly evolving field.
Company Info

Quantum Dice
Award-winning quantum technology spinout from Oxford University developing quantum random number gen...