Computational physics Work, Jobs in United Kingdom (with Salaries)

Hardware Engineer, Architect
Normal Computing Corporation —London
- £234,001 - £298,252 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
AI Research Engineer
Normal Computing Corporation —London
- £300,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- AI
Graduate Wireless Electronic Engineer / Software Developer (Wireless Products Team)
Netbuilder —Guildford
- Up to £36,000 a year
- Full-time
- Engineering
- C++
- Maths
Quick apply
5d
Higher/Senior Scientist in Quantum Computing and Machine Learning
NPL —Teddington
- Doctoral degree
- Machine learning
- Leadership
User Services Specialist
ECMWF —Reading
- £76,384 - £91,754 a year
- Hybrid work
- English
- C++
- Bachelor's degree
5d
Associate Director, Systems Medicine
AstraZeneca —Cambridge
- Doctoral degree
- Engineering
- Data analysis skills
10d
Research Associate in Plasma Modelling (Fixed Term)
University of Nottingham —Nottingham
- £35,608 - £47,389 a year
- Hybrid work
- Doctoral degree
- Engineering
- University
- Employee discount
9d
Support Engineer - Bristol
XTX Markets —Bristol
- Weekend availability
- Microsoft Office
- Machine learning
- Scripting
Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President / Executive Director
JPMorganChase —London
- Full-time
- Doctoral degree
- Master's degree
- AWS
Photonic Design Engineer
LumiAIres Ltd —Glasgow
- From £35,000 a year
- Hybrid work
- Doctoral degree
- Schematics
- Engineering
Quick apply
Senior Engineer - CFD & Thermofluids
Rolls-Royce SMR —Derby
- £50,600 - £66,500 a year
- Full-time
- Hybrid work
- Master's degree
- Communication skills
- Python
Senior Teaching Laboratory Technician
Imperial College London —South Kensington
- £46,614 - £56,345 a year
- Full-time
- Laboratory experience
- Assembly
- University
- Annual leave
1d
Senior Compute Platform Engineer
Zeta Global —London
- £100,000 - £112,000 a year
- Computer Science
- Engineering
- AWS
Quick apply
Commercial Analyst
Type One Energy —Abingdon
- Full-time
- Hybrid work
- Microsoft Excel
- Engineering
- Master's degree
Quick apply
Senior Optical Engineer
Infleqtion —Kidlington
- Full-time
- Hybrid work
- CAD
- Engineering
- System design
- Annual leave
- Work from home
Quick apply
Research Associate in Computational Biomolecular Physics
Imperial College London —South Kensington
- Full-time
- Doctoral degree
- Analysis skills
- University
4d
GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
Lecturer (Teaching) in Physics
University College London —London
- £54,931 - £64,644 a year
- Full-time
- Teaching
- Annual leave
- Employee assistance programme
Computational Photonics Engineer
LumiAIres Ltd —Glasgow
- £35,000 - £75,000 a year
- Hybrid work
- Doctoral degree
- Master's degree
- Machine learning
Quick apply
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience

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Hardware Engineer, Architect

Normal Computing Corporation
London

Apply Now

Job details

Full-time
£234,001 - £298,252 a year

Qualifications

Doctoral degree
Computer Science
Engineering
C++
SystemVerilog
Electrical Engineering
Python

Full job description

About Normal Computing

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.

We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.

Normal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.

The Role

Most accelerator architecture is refinement: a known base compute architecture, a known programming model, and decades of prior art to lean on. This role is not that. Normal's silicon computes with stochastic analog dynamics in memory, and the architecture that exploits it fully is being discovered alongside the development. As our Silicon Architect, you will own the architecture of its compute blocks: the core decisions that determine how Normal's silicon actually computes, working directly with our Systems Architect, research and engineering leadership, and the AI platform team whose tools you'll use to design it. This is a seat for someone who wants to define structures that no prior art covers, and who has the architecture-to-silicon range to defend them all the way to tapeout.

What You Will Own

Compute Architecture: Help define the architecture and microarchitecture of novel AI accelerator compute blocks: PE array design, datapath organization, and support for efficiency techniques such as sparsity exploitation and reduced-precision computation. The compute tile is the surface where Normal's research advantages have to show up in silicon, and you are one of the people responsible for making sure they do.
Workload-to-Hardware Translation: Translate workload analysis and research findings into hardware specifications. Identify where architectural innovation creates the most leverage, define the structures that realize it, and produce microarchitecture documents unambiguous enough for RTL engineers to implement against. You work closely with them through implementation, not over the wall from it.
Full-Stack PPA Tradeoffs: Reason across the full stack and defend PPA tradeoffs at every level. Move between algorithm-level workload behavior, memory hierarchy, on-chip interconnect, and physical design constraints. Make the call when the data is incomplete, and articulate why under scrutiny from our Systems Architect and the research team.
ISA Co-Design: Partner with the compiler lead on ISA co-design. The programming model and the microarchitecture are defined together, and you are accountable for both sides meeting in the middle.
Prototyping Strategy: Direct block-level pre-silicon validation. Decide which microarchitecture questions need to be answered, and the appropriate platform. Partner with our FPGA Design Engineers, who own implementation and bring-up, to de-risk decisions before tapeout. Work with the Systems Architect to make sure there are no gaps from block to System-level validation.
Research Fluency: Stay current with the AI accelerator research landscape and be able to articulate clearly where Normal's approach differs from existing solutions and why that matters. This is a research-adjacent seat and you are expected to read, possibly publish, and not just consume.

What Makes You a Great Fit

A degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent work experience. PhD welcome but not required; the bar is the work, not the credential.
Substantial experience in architecture or microarchitecture of high-performance digital systems: AI accelerators, compute engines, or similarly complex logic. You have shaped and directed the structures inside a chip, not just consumed them from the outside.
Fluency moving between algorithm-level analysis and hardware specification. You can read a profile of a workload and translate it into datapath widths, pipeline stages, and area/power estimates without losing the thread on either side.
Experience with simulation-driven architecture. You have used cycle-accurate or analytical models to make and defend design decisions before RTL exists, and you know which questions each tool can answer and which it cannot.
Familiarity with quantization and reduced-precision approaches for inference and their implementation implications. You understand the cost of a bit at the hardware level, not just the model level.
Experience writing microarchitecture specifications and working closely with RTL engineers through implementation.
Proficiency in Python or C++ for performance modeling and analysis, and familiarity with SystemVerilog or equivalent RTL.
Comfort operating in an environment where the architecture is actively being discovered alongside the work. You do not need the answer to be already known to make progress on it.

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 [email protected].

Privacy Notice

By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

Compensation Range: $234,001 - $298,252

Apply Now

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computational physics jobs in united kingdom

Hardware Engineer, Architect

AI Research Engineer

Graduate Wireless Electronic Engineer / Software Developer (Wireless Products Team)

Higher/Senior Scientist in Quantum Computing and Machine Learning

User Services Specialist

Associate Director, Systems Medicine

Research Associate in Plasma Modelling (Fixed Term)

Support Engineer - Bristol

Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President / Executive Director

Photonic Design Engineer

Senior Engineer - CFD & Thermofluids

Senior Teaching Laboratory Technician

Senior Compute Platform Engineer

Commercial Analyst

Senior Optical Engineer

Research Associate in Computational Biomolecular Physics

GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO

Lecturer (Teaching) in Physics

Computational Photonics Engineer

Physical AI Data Scientist - QuantumBlack Labs

I want to receive the latest job alerts for computational physics in united kingdom

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