Xanadu builds photonic quantum computers alongside an open-source quantum machine learning library (PennyLane), combining hardware, software, and research. The tech stack spans semiconductor fabrication tools (Cadence, electron-beam lithography, photolithography) and classical infrastructure (Python, Rust, TypeScript, AWS, PostgreSQL), with active adoption of LangChain and LangGraph signaling a shift toward agentic AI research. Hiring is heavily skewed to engineering (47 roles) and research (7 roles), with senior and mid-level positions dominating—typical of hardware companies scaling manufacturing and R&D simultaneously.
Tech Stack 102 technologies
Core StackPython C++ Solidworks Slack Zoom MATLAB AWS PostgreSQL Docker Terraform Rust TypeScript Cadence macOS Bash ellipsometry MES Photolithography Electron beam lithography Ellipsometry kiCad Altium ADP Workforce Now Hibob JazzHR LinkedIn Recruiter Virtuoso JMP KiCad FPGA+71 more
What Xanadu Is Building
◆Challenges
- Optimizing fabrication processes for quantum hardware
- Accelerating hardware development timelines
- Balancing competing fabrication requirements
- Core r&d optimization
- Improving snspd performance metrics
- Scaling snspd arrays
- Complex high-speed high-voltage analog design
- Scalability and performance improvement
- Simulating large system sizes
- Managing complex research tasks at scale
▲Active Projects
- Build pennylane.ai ecosystem
- High-performance simulator design
- Optimize deployment pipelines
- Improving performance of photon number resolving detectors
- Software simulation tools for quantum architecture
- Rack-scale quantum computer development
- Performance monitoring and benchmarking tooling for pennylane & catalyst
- Agentic ai research system
- Optical phase-locked loop implementation
- Record-breaking photon-number-resolving detectors
Hiring Activity
60 roles · 55 in 30d
Department
Seniority
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