Hardware Engineer, Silicon Design

London - UK

Monthly Salary: $ 130 - 190

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

Normal Computing Incredible Opportunities

The Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry critical AI infrastructure and the broader systems that power our world. We work as one team across New York San Francisco Copenhagen Seoul and London.

Your Role in Our Mission:

You will define and implement architecture and microarchitecture for novel AI compute blocks at Normal Computing. This role sits at the intersection of machine learning algorithms computer architecture and RTL implementationyoull need to understand modern AI workloads deeply enough to make intelligent hardware design decisions then implement those designs in production-quality RTL.

Responsibilities:

Define microarchitecture for novel AI accelerator blocks collaborating closely with architecture and research teams to translate algorithmic requirements into efficient hardware implementations
Write high-quality RTL in SystemVerilog for core logic datapaths and control structures optimized for AI/ML workloads
Stay current with state-of-the-art AI algorithms and architectures understanding their computational patterns and hardware implications
Analyze existing AI accelerator architectures and apply lessons learned to new design problems
Work with DV team on digital verification for assigned designs including testbench development debugging coverage and signoff
Work with physical design engineers to ensure RTL is implementable performant and aligned with layout constraints
Contribute to functional or performance models to support early exploration validation and design tradeoff analysis
Participate in design reviews verification reviews and cross-functional debug from concept through silicon

This role requires both breadth (understanding the AI accelerator landscape) and depth (implementing complex digital logic). You should be comfortable reading ML research papers and reasoning about their hardware implications while also being hands-on with RTL coding verification and physical design constraints.

What Makes You A Great Fit:

BS MS or PhD in Electrical / Electronic Engineering Computer Engineering Computer Science or a related field
Experience in digital logic design for AI/ML accelerators or compute architectures
Deep understanding of modern AI algorithms and architectures including transformer models diffusion models mixture of experts and other generative AI methods
Strong knowledge of existing AI accelerator architectures (e.g. TPU Cerebras Graphcore Groq etc.) and the algorithmic/architectural tradeoffs they embody
Proficiency in SystemVerilog for RTL design and verification
Experience designing compute cores accelerators or similarly complex logic
Ability to translate algorithmic requirements and research concepts into efficient hardware microarchitecture
Ability to work closely with physical design and verification teams to ensure correct implementable designs
Comfort operating in an R&D-focused ambiguous environment where architecture RTL and verification evolve together

Bonus Points For:

PhD or research experience in AI/ML hardware acceleration computer architecture or related areas
Experience implementing novel sparse computation dataflow architectures or specialized memory hierarchies for AI workloads
Contributions to AI accelerator research (publications open-source projects or prototype systems)
Background in functional or performance modelling to support architecture exploration or validation
Understanding of ML frameworks (PyTorch JAX etc.) and their hardware implications

Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability veteran status or any other legally protected status.

Accessibility Accommodations

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability please let us know at

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Required Experience:

Normal Computing Incredible OpportunitiesThe Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry critical AI infrastructure and the broader systems that power our world. We work as one team across New York San Francisco Cop...