ASIC Architect
Quantum Dice · United Kingdom · posted today ago
Listing supplied by Himalayas. 101 Careers did not originate this post and applications are handled by the employer.
About this role
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
- Requirements analysis
- System-level and algorithm understanding, HW/SW co-design: arithmetic implementation in hardware. Analysis of programmability, fixed functions, hardware implementation, and host requirements.
- Functional simulation & building models to drive architectural decisions.
- System-level architecture & ISA definition: turn workloads into system architecture and instruction set architecture / dataflow models.
- Trade-off analysis (timing, power, area), own partitioning with physical design awareness
- Detailed specifications for microarchitectures:
- RTL requirements definition
- Memory hierarchy
- On-chip and inter-chip connectivity
- Interfacing (analogue domain and software)
- Overseeing internal IP development & 3rd party IP evaluation
- Lead the design through verification, signoff, tape-out and bring-up.
Required qualifications
- Architectural ownership of >= 1 ASIC taken to successful tape-out (preferably compute accelerator, inference engine, DSP)
- Hands-on performance modelling (in Python, C++ or equivalent), trade-off analysis & simulation which drove your architectural decisions.
- Industry tool flow experience (e.g. Synopsys, Cadence, or Siemens)
- Solid grasp of timing, power and area trade-offs at the architectural level.
- Experience defining HW/SW interfaces and working with firmware/compiler teams
- 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.
Originally posted on Himalayas
