Scalable Cryogenics Engineer, Quantum AI
Santa Barbara, CA, USA · Full-time · Posted Oct 8, 2026
- Experience
- 3 years in each of the three specified experience areas.
- Education
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP), or equivalent practical experience.
About the job
Design, develop, validate, and commission increasingly complex cryogenic systems for Google Quantum AI, working with vendors and cross-functional teams to advance quantum-computing hardware.
What you'll do
- Collaborate with vendors on the design, testing, and development of cryogenic systems.
- Troubleshoot cryogenic issues and validate designs through thermal modeling and requirements analysis.
- Partner with cross-functional teams to define and implement R&D projects.
What they ask for
- Bachelor’s degree in a listed or specialized field, or equivalent practical experience.
- 3 years of experience with design validation, including thermal modeling and requirements analysis.
- 3 years of experience working on cryogenic system projects.
- 3 years of experience with ultra-low temperature cryogenic systems (less than 1K).
Nice to have
- Master's degree or PhD in a listed or related field.
- Experience with cryogenic thermal modeling, system design/build/debug, or programming in C++ and Python; familiarity with Matlab or similar signal data analysis tools.
Pay
$132000 - $189000 USD base salary
Tools
C++, Python, Matlab
AI focus
The role supports Google Quantum AI’s roadmap to commercially useful fault-tolerant quantum computers; no direct AI development is specified.
Model-written summary · the original posting is authoritative