Senior Software Engineer, Quantum Computing

Jobtailor

Colorado

On-site

USD 120,000 - 180,000

Full time

7 days ago

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Job summary

Jobtailor in Colorado seeks an experienced backend software engineer to write, own, and ship production services for quantum computing control systems. You will debug across the stack from real-time kernels to distributed services and build tooling for researchers to run experiments autonomously.

You will develop CI/CD pipelines, maintain Docker/Kubernetes deployments, and create Python packages with C++ or Rust extensions in a Linux environment.

Qualifications

6+ years of backend software engineering experience.
Degree in Computer Science, Physics, Applied Mathematics, or a field where writing code to solve hard quantitative problems was the norm.
Production-tested Python experience.
Hands-on C++ or Rust experience; experience with both is a strong advantage.
Comprehensive testing, clean revision control, operational reliability, maintainable systems, thorough documentation, and code-health practices.
Experience with scientific or experimental data pipelines.
Experience with NumPy, SciPy, PyTorch, time-series storage, and ETL.
Science or mathematics background, or verifiable experience embedded with scientists translating research requirements into production software.
Ability to discuss physics knowledgeably.
Familiarity with statistics, machine learning, or AMO physics is a differentiator.
Experience with realtime image analysis and object detection is advantageous.
Authorization to receive software or technology controlled under U.S. export control laws and regulations without sponsorship for an export license may be required.

Responsibilities

Write, own, and ship production backend services and control frameworks operating and calibrating neutral atom quantum computers.
Debug and support every layer of the control stack, from real-time embedded kernels to distributed services.
Build tooling enabling physicists and hardware engineers to run experiments independently.
Develop and maintain CI/CD pipelines.
Maintain containerized deployments using Docker and Kubernetes.
Develop and maintain Python packages with C++ or Rust extensions in a Linux-native environment.
Work with experimental data, including time-series data, SQL and non-relational databases, realtime image analysis, and object detection from live quantum systems.
Work directly with physicists and hardware engineers to translate scientific requirements into software controlling real quantum machines.
Spend approximately 90% of the role writing and owning code.

Skills

Backend software engineering

Production-tested Python

C++ or Rust

CI/CD

Docker

Kubernetes

NumPy

SciPy

PyTorch

Education

Degree in Computer Science, Physics, Applied Mathematics, or related field

Tools

Docker

Kubernetes

PyTorch

Job description

Write, own, and ship production backend services and control frameworks operating and calibrating neutral atom quantum computers
Debug and support every layer of the control stack, from real-time embedded kernels to distributed services
Build tooling enabling physicists and hardware engineers to run experiments independently
Develop and maintain CI/CD pipelines
Maintain containerized deployments using Docker and Kubernetes
Develop and maintain Python packages with C++ or Rust extensions in a Linux-native environment
Work with experimental data, including time-series data, SQL and non-relational databases, realtime image analysis, and object detection from live quantum systems
Work directly with physicists and hardware engineers to translate scientific requirements into software controlling real quantum machines
Spend approximately 90% of the role writing and owning code

Requirements

6+ years of backend software engineering experience
Degree in Computer Science, Physics, Applied Mathematics, or a field where writing code to solve hard quantitative problems was the norm
Production-tested Python experience
Hands-on C++ or Rust experience; experience with both is a strong advantage
Comprehensive testing, clean revision control, operational reliability, maintainable systems, thorough documentation, and code-health practices
Experience with scientific or experimental data pipelines
Experience with NumPy, SciPy, PyTorch, time-series storage, and ETL
Science or mathematics background, or verifiable experience embedded with scientists translating research requirements into production software
Ability to discuss physics knowledgeably
Familiarity with statistics, machine learning, or AMO physics is a differentiator
Experience with realtime image analysis and object detection is advantageous
Authorization to receive software or technology controlled under U.S. export control laws and regulations without sponsorship for an export license may be required

Core Competencies

Demonstrates expertise in backend software engineering with a strong focus on Python, C++, and Rust for developing production systems. Proficient in building and maintaining CI/CD pipelines, containerized deployments, and scientific data processing.

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