Quantum Backend Engineer - Python & C++ APIs

Q-CTRL; Los Angeles (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Q-CTRL is seeking a Software Engineer for the Boulder Opal team to build backend infrastructure supporting our quantum software platform. You will collaborate with compiler engineers and researchers to create scalable services, APIs and performance‑critical components.

Ideal candidates have strong Python skills, experience with C++, and a track record building backend or distributed systems, plus API design using REST, gRPC or GraphQL.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related discipline.
• Strong Python programming skills.
• Experience with modern C++.
• Experience building backend systems or distributed services.
• Experience designing APIs using REST, gRPC or GraphQL.

Responsibilities

• Design, build and maintain scalable backend services in Python and C++.
• Develop APIs and backend services supporting compiler and quantum runtime.
• Build reliable distributed systems and cloud-native services.
• Improve performance, reliability and observability across backend components.
• Collaborate with compiler engineers to integrate new compiler capabilities into production systems.
• Work with researchers and product teams to deliver new platform capabilities.
• Learn and contribute to compiler infrastructure as your expertise grows.

Skills

Backend engineering

Distributed systems

APIs design

Python programming

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

Python

C++

REST APIs

GraphQL

gRPC

Job description

Q-CTRL is seeking a Software Engineer for the Boulder Opal team to build backend infrastructure supporting our quantum software platform. You will collaborate with compiler engineers and researchers to create scalable services, APIs and performance‑critical components.

Ideal candidates have strong Python skills, experience with C++, and a track record building backend or distributed systems, plus API design using REST, gRPC or GraphQL.