Fractile
Senior/Principal Physical Design Engineer

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Senior/Principal Physical Design Engineer
Senior / Principal Physical Design Engineer
Fractile is building the silicon, systems and software to break through the memory wall, the fundamental hardware constraint standing between today's AI and what comes next.
The frontier of AI is no longer a research problem. The tasks AI can complete are doubling in complexity every six to seven months and the tokens required to complete them are scaling with it. Sequential reasoning, the kind that can't be parallelised away, means the internal clock speed of inference systems is the critical constraint. What stands between where we are today and the future potential of AI isn't smarter algorithms; it's the hardware to run them fast enough to matter.
Today's chips are hitting their wall. We're building the ones that don't.
Fractile is seeking to increase the clock speed of global progress, one chip at a time.
We are seeking a highly skilled Senior/Principal Physical Design Engineer to contribute to our next-generation chip designs. As a Physical Design Engineer, you will be responsible for the end-to-end implementation of complex IC physical designs, from synthesis to sign-off, including opportunities for full-chip ownership. You will collaborate with cross-functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.
Key Responsibilities
Drive the physical implementation of ASIC/SoC designs, including floorplanning, placement, clock tree synthesis (CTS), routing, and sign-off, with potential responsibility for full-chip execution. Work on synthesis, timing analysis (STA), and optimisation to achieve the best PPA metrics. Perform power planning and analysis, addressing IR drop, electromigration, and low-power design techniques. Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance. Collaborate with DFT engineers to integrate design-for-test (DFT) structures into the physical implementation. Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others. Interface with foundries and process engineers to ensure manufacturability and yield optimisation. Work closely with RTL and architecture teams to drive design feasibility, constraints, and physical-aware RTL design. Work with advanced AI tools and models to improve productivity, analysis, and design quality.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Preferred Qualifications
Bachelor’ Master’s or PhD in Electrical Engineering, Computer Engineering, or a related field. 8+ years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below). Strong proficiency in EDA tools for place & route, STA, and sign-off. Solid understanding of CMOS technology, semiconductor physics, and process limitations. Experience with low-power design methodologies, power optimisation techniques, and multi-power domain architectures. Expertise in timing closure, signal integrity, IR drop analysis, and formal verification. Proficiency in scripting languages like TCL, Perl, or Python for automation. Excellent problem-solving skills, communication, and teamwork in a collaborative design environment. Experience in high-performance computing (HPC), AI accelerators, or networking chips. Experience or strong interest in leveraging advanced AI tools and models within engineering workflows


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About Us
Founded 2022, we're 100+ people across London and Bristol, in the heart of the UK's frontier AI ecosystem, and growing fast. We've recently raised $220M from Accel, Founders Fund, Factorial Funds and a number of the world's leading deep-tech investors. Our team brings deep experience from (Arm / Google DeepMind / Apple Silicon / Qualcomm / etc), people who've shipped silicon and scaled systems at the frontier before. A team of hardware and software engineers working on one of the most consequential bottlenecks in technology and one that matters deeply for the future of UK and European AI independence. A culture built on deep curiosity, technical fluency and humility. We're looking for the kind of entrepreneurial instinct that finds that motivating rather than daunting. We offer competitive salaries, meaningful equity, and standard company benefits. We believe the hardest problems get solved by the broadest range of minds. We actively encourage applications from underrepresented groups in hardware and software engineering. Hybrid working; 2-3 days in our London and Bristol offices.
Export Controls
Our work involves technologies subject to UK and international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process.
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