Jobs at Xanadu

Build and maintain the pennylane.ai ecosystem, including robust APIs, scalable products, automated testing, documentation, and production systems. Collaborate with product owners to define feasible technical solutions, lead fault-tolerant distributed-system design, improve engineering processes, and advocate for new technologies. The role may involve deployment pipelines, cloud infrastructure, web-framework integration, technical leadership, and mentoring. Quantum software experience is not required.

As a Senior Cryogenic Engineer, you will design and develop cryostats, manage hardware lifecycle, and collaborate on detector system improvements. Your role involves testing and optimizing cryogenic systems, as well as deploying large-scale facilities.

As a Staff Data Scientist, lead the development of a decision intelligence product integrating multifaceted R&D data to generate actionable insights using advanced AI and ML techniques.

Develop nonlinear optical components for quantum computing applications, collaborate with teams, and manage design performance using advanced simulation techniques.

The role involves fabricating SNSPDs, enhancing cleanroom capabilities, collaborating on process developments, and ensuring performance metrics are met.

As a Senior Scientist in Optical Metrology, you will drive precision measurement initiatives for superconducting nanowire single photon detectors to enhance performance and scalability.

As a Senior Electrical Engineer, you will develop custom electronic boards for photonic quantum computers, focusing on analog measurement and digital control in a collaborative environment.

Lead inventory and fixed asset accounting, manage month-end close and reconciliations, support revenue/grant accounting and government funding reporting, liaise with auditors, partner on CAPEX planning, and drive process improvements and ad hoc finance projects to ensure US GAAP and SOX-compliant financial statements.

Drive applied AI for R&D by analyzing structured and unstructured data, developing representation, reinforcement, and generative learning methods, implementing ML and optimization algorithms, building reproducible workflows and toolkits, and collaborating with scientists and engineers to improve modeling, simulation, and research efficiency for quantum-computing R&D.

As a Photonics Data Analysis Engineer, you will develop software for analyzing and measuring photonic devices, requiring advanced mathematical skills and strong programming expertise, particularly in Python and data visualization.

Design GDS mask layouts and PDK components for multiplexed SNSPD arrays, integrate layout with simulations, perform physical verification (DRC/LVS), collaborate with fabrication partners, and optimize device performance through layout and test-structure design.

Lead and grow a software team (up to ~10), run Agile processes, set targets, partner on hiring and roadmaps, remove blockers, manage technical debt, and ensure timely, high-quality delivery.

Lead assembly, integration, and validation of photonic quantum source modules; characterize squeezed and non-classical states, measure losses and filter performance; develop control and stabilization strategies for integrated optics; collaborate with PIC, electrical, mechanical, and systems teams; provide measurement-driven feedback to design teams and produce integration documentation and operational procedures.

Develop and optimize fabrication processes for integrated photonic devices (especially thin‑film lithium niobate). Own wafer lots with foundry partners, design and run process improvement experiments, perform metrology and failure analysis, collaborate across process and design teams, and implement new fabrication learnings to improve device performance.

Define and flow down engineering requirements from high-level designs, document and manage requirement changes, maintain system architecture and interfaces, identify tools/process improvements, and coach teams on systems engineering practices for complex hardware/firmware/software products.

Administer and integrate core SaaS and collaboration platforms, build and maintain NetSuite and other system integrations, automate workflows with scripting, manage user lifecycle and SSO, support macOS/Linux/Windows endpoints and hardware, triage and resolve support tickets end-to-end, maintain documentation and runbooks, and participate in on-call rotation.

Lead development and optimization of fabrication processes for integrated photonic devices (electro-optic materials). Design experiments, own wafer lots at foundries, define metrology and failure analysis, improve yields, collaborate with internal and external photonics engineers, and implement process improvements to reduce loss and scale production.

In this role, you will develop process integration schemes and manage photolithography and tapeout cycles for quantum computing hardware at Xanadu.

The role involves designing and modeling photonic integrated circuits (PICs) for quantum computing, ensuring low insertion loss and low noise. You will collaborate across teams, utilize fabrication processes, and validate control performance.

Design and scale passive and active integrated photonic components for quantum hardware. Use high-throughput cloud simulation pipelines, execute DOEs and tapeouts, collaborate with Fabrication/Tooling/Test teams, perform data-driven analysis and optimization to achieve sub-milli-dB loss and transition designs to high-volume wafer production.