Layout Scale-Up Engineer
Alice & Bob is hiring a Layout Scale-Up Engineer in Paris, France. Level rates it ; you can apply on Alice & Bob.
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- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level lists 48 other open roles at Alice & Bob.
AI in this role
About the Mission
Alice & Bob's current 48-qubit generation was hand-drawn — the next generations won't be. As we scale toward 1,000-, 10,000-, and eventually million-qubit chips, manual layout stops being an option: it doesn't scale, and it caps how fast we can iterate. This role exists to build the infrastructure — PDK, generators, automated flows — that lets chip complexity grow 10–1,000× while design cycle time stays flat.About the Role
You'll build the layout infrastructure that makes that scaling possible — PDK, layout compilers, parasitic extraction, hierarchical verification, and mask generation. This is a semiconductor physical-design role applied to superconducting hardware, not a quantum physics one.
Responsibilities
- Build and own the PDK — layer stack, technology file, parametric cells (junctions, CPW, resonators, couplers, pads, airbridges/crossovers) — and their DRC/LVS decks
- Design a tile-based, hierarchical layout methodology: standardized reticle-compatible tiles, programmatic instantiation, and stitching for wafer-scale and multi-chip designs
- Write and maintain layout generators (Python/GDS or vendor EDA scripting) that turn architecture spec + frequency plan into DRC-clean GDSII/OASIS with zero manual drawing
- Own mask generation end-to-end: floorplan → hierarchical layout → DRC/LVS/PEX signoff → wafer map, test structures, PCM placement → mask data prep and tape-out package
- Drive automation targets: >50% automated layout at 400 qubits, >80% at 1,000, >90% at 10,000+
- Keep DRC/LVS/PEX runtime and file size tractable at 10⁶–10⁸ elements via hierarchical, cell-level, and incremental verification
- Evaluate and deploy the EDA toolchain (Cadence/Siemens/Synopsys-class or open-source) and integrate it with EM-simulation handoff
- Serve as physical-implementation signoff at design review gates ahead of mask release
Requirements
- 5+ years in physical design, custom/analog layout, PDK development, or mask data prep in a semiconductor context (CMOS backend, RF/analog, MEMS, or photonics), including at least one production tape-out owned end-to-end
- Track record scaling a layout methodology — replacing hand-drawn layout with generators, PCells, or hierarchical flows on a design that grew substantially in element count
- Hands-on parasitic extraction experience — commercial (Calibre xRC/xACT, Quantus, StarRC) and/or field-solver-based (FastCap/FastHenry, BEM/FEM) — including deck/rule-file development and correlation against EM or measurement
- Strong layout-automation scripting: Python (gdstk/gdsfactory/KLayout API) and/or vendor languages (SKILL, Tcl)
- Fluent in DRC/LVS deck authoring, GDSII/OASIS, reticle and stepper constraints (field size, stitching, alignment marks), and tape-out data prep
- Comfortable turning a frequency plan or floorplan constraint set into geometry
- Fluent English and excellent written and verbal communication skills
- Experience with superconducting or cryogenic device layout (Nb/Ta/TiN/Al thin films, Josephson junctions, CPW resonators, airbridges) and the loss/crosstalk-driven layout rules that come with it
Nice to Have
Recruitment Process
- Screening Call with Grace, Talent Acquisition Specialist (30 min)
- Hiring Manager Interview with Felix (45 min)
- Technical Interview/Presentation with the Team (120 min)
- Leadership Team Interview (30 min)
- Fit Interview (45 min)
- Reference check
How we rate this
Layout Scale-Up Engineer at Alice & Bob rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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