Quantum Systems Architect
Posted on 3/22/2024
PsiQuantum

201-500 employees

Building photonics-based, large-scale quantum computers
Company Overview
PsiQuantum stands out as a leader in the quantum computing industry with its unique photonics-based approach, which allows for manufacturing in a conventional silicon chip foundry, a method that is both practical and scalable. The company's culture is a blend of quantum physicists, semiconductor, systems, and software engineers, and system architects, all dedicated to error correction and solving real-world problems. With a mission to build the world's first commercially useful quantum computer, PsiQuantum is poised to address significant challenges across various sectors, including climate tech, energy, pharma, defense, and financial services.
AI & Machine Learning
Hardware
B2B

Company Stage

Series D

Total Funding

$745.5M

Founded

2015

Headquarters

Palo Alto, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

9%

2 year growth

40%
Locations
Palo Alto, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
CategoriesNew
Backend Engineering
Embedded Engineering
Software Engineering
Requirements
  • Master’s degree or equivalent in EE, Physics, Computer Science or related field. PhD preferred.
  • Ability to work effectively in a new area designing a first-of-its-kind system architecture.
  • Ability to work across domains and collaborate effectively with multi-disciplinary technical teams.
  • Effective communication skills.
  • Working knowledge of quantum computing/quantum mechanics preferred.
  • Familiarity with systems engineering concepts preferred.
  • Experience programming in Python preferred.
Responsibilities
  • Extract predictive models and perform analysis of architectural performance across multiple system views.
  • Design functionality and determine requirements for quantum aspects of the full system architecture.
  • Develop methodologies for evaluating implementation concepts and determining their feasibility.
  • Work closely with photonics, electronics, systems and architecture teams to capture a consistent, data-driven description of the system architecture.