Build practical quantum cryptanalysis

Lead our quantum cryptanalysis research, connecting mathematical ideas to implementable circuits and resource estimates.

Responsibilities

Set technical priorities, guide the algorithmic research team, and review results. Work with compiler and hardware specialists to turn the research agenda into experiments.

Relevant experience

Research in quantum algorithms or cryptanalysis, with experience leading technical work across disciplines.

Evidence to share

Publications or implementations that show an original contribution, plus an example of research you have led.

Define the cryptographic problems and arithmetic that our quantum algorithms need to solve.

Responsibilities

Study elliptic-curve cryptography and discrete-logarithm algorithms. Specify workloads and correctness criteria, develop classical reference implementations, and review how arithmetic components fit into the full algorithm.

Relevant experience

Cryptography, computational number theory, or elliptic-curve arithmetic, with strong mathematical and programming skills.

Evidence to share

A paper, implementation, or technical note explaining a cryptographic construction and its analysis.

Design quantum algorithms and reversible arithmetic circuits that use fewer qubits and gates.

Responsibilities

Develop and optimize arithmetic building blocks, from adders to elliptic-curve point addition. Verify correctness, measure resource trade-offs, and work with the compiler team to evaluate how improvements compose.

Relevant experience

Quantum algorithms, reversible computation, or mathematical software, with experience implementing and evaluating circuits.

Evidence to share

An algorithm or circuit implementation with correctness checks and reproducible resource counts.

Lead our hardware strategy and connect algorithm requirements to quantum platforms and experiments.

Responsibilities

Translate workloads into platform requirements. Guide architecture and resource-estimation work, coordinate hardware partners, and lead experimental validation across superconducting, trapped-ion, and neutral-atom systems.

Relevant experience

Quantum hardware or systems architecture, with experience leading technical teams and coordinating experimental work.

Evidence to share

A hardware or systems project showing how you turned requirements into a working experiment or architecture.

Develop quantum error-correction approaches for reliable execution of our arithmetic circuits.

Responsibilities

Evaluate codes, decoding, and fault-tolerant operations against target hardware. Study how noise, connectivity, and control latency affect reliability, qubit overhead, and runtime.

Relevant experience

Quantum error correction, fault-tolerant computation, decoding, or noise modelling.

Evidence to share

Research or software connecting an error-correction method to explicit hardware and reliability assumptions.

Estimate the qubits, operations, and time needed to run our workloads on different quantum platforms.

Responsibilities

Build reproducible resource models, compare architectural choices, and quantify sensitivity to error and timing assumptions. Connect estimates to hardware measurements and our Maximum Reliable Kernel metric.

Relevant experience

Quantum resource estimation, architecture, simulation, or performance modelling.

Evidence to share

A resource model or benchmark with reproducible inputs and a clear account of its assumptions.

Connect compiled circuits, control interfaces, and quantum hardware into a reproducible execution workflow.

Responsibilities

Integrate provider SDKs and execution interfaces, manage experiment jobs, and collect results. Work on mapping, scheduling, and control requirements, and compare measured outputs with classical references.

Relevant experience

Systems engineering, scientific instrumentation, quantum SDKs, or experimental software and hardware integration.

Evidence to share

An integration or experiment you built, including how you tested it and diagnosed execution failures.

Lead the tools that turn quantum algorithms into circuits ready for hardware execution.

Responsibilities

Develop circuit representations and compilation passes. Connect algorithm design to architecture mapping and scheduling, preserve correctness across transformations, and integrate external tools where useful.

Relevant experience

Compiler engineering, quantum software, or systems programming, with experience owning a technical toolchain.

Evidence to share

Compiler or tooling contributions with an explanation of their design, correctness, and performance.

Build AI-assisted workflows for literature review, experiment automation, circuit search, and result analysis.

Responsibilities

Connect research assistants to code, experiment runners, and evaluation tools. Make proposed improvements testable, retain reproducible experiment records, and help researchers inspect and compare results.

Relevant experience

AI agent systems, scientific software, or workflow automation, with strong software engineering skills.

Evidence to share

A research or automation tool you built, with examples of how its outputs were evaluated.