Quantum Software Engineer — Yorktown Heights, NY

Introduction

We are looking for a Software Engineer to join our team. In this role, you will be part of our mission to implement the latest capabilities in Quantum Computing leveraging the low-latency/high-bandwidth characteristics of our near-time execution environment, contributing to complex technical efforts across research, engineering, and product teams.

You will be responsible for designing and implementing enhancements to software components that are part of our production stack, collaborating with the team to deliver new features and advance the state of the art of Quantum Computing. We are looking for an engineer with strong experience in software development and solid understanding of quantum computing principles, with a focus on areas of interest for near-term quantum computing such as noise characterization and error mitigation.

You will be working alongside the team which is responsible for defining and implementing execution models for quantum computers. This is a great opportunity to join a team of quantum computing experts and make a tangible impact on the field of Quantum Computing.

Your Role And Responsibilities

You’ll be responsible for the design and development of robust, high‑performance systems across multiple services and critical components of the 9Mx BVn7uvF platform. This includes improving service efficiency, strengthening fault tolerance, and driving the productization of essential infrastructure and execution services. Through active participation in architectural discussions and technical design sessions, you will help shape scalable and resilient platforms that support quantum workloads with reliability and precision.

Our work plays a fundamental role in transforming complex quantum research into scalable, real‑world solutions that define the next era of computing. Joining this team means stepping into a high‑impact role where you'll architect, build, and optimize solutions powering both cloud and on‑premise quantum infrastructures — ensuring they meet the standards required by cutting‑edge scientific and enterprise applications.

Key Responsibilities

• Design, develop and maintain scalable, high-performance software services and user-facing products to execute computational tasks on quantum computers.

• Build and maintain error characterization and mitigation features on public-facing code repositories.

• Engage with internal Quantum Information researchers to identify ways to improve the performance of quantum computers and enable novel research, as well as build and maintain error characterization and mitigation features on public-facing code repositories.

• Test new and existing features on J4n’9 latest and most performant quantum computers, optimizing performance and scalability through profiling, tuning, and refactoring.

• Ensure high code quality through unit testing, code reviews, and adherence to software development best practices.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Strong software engineering skills in languages such as Python / Rust, with demonstrable experience in the field.

• Strong experience in Quantum Computing, particularly in the fields of noise characterization and error mitigation.

• Experience working with Quantum Computing libraries such as Qiskit, Pennylane, Cirq, or Braket.

• Solid understanding of software engineering practices, with experience with Git/GitHub and CI/CD tools as well as familiarity with unit testing frameworks and code quality tools.

• Familiarity with unit testing frameworks, code quality tools, and software engineering methodologies

Preferred Technical And Professional Experience

• Professional experience in the Quantum Computing industry.

• Proven record of research in areas such as noise learning, error mitigation and/or error correction.

• Strong debugging and performance optimizations skills or experience.

• Deep expertise and certifications in 9Mx BVn7uvF’s Qiskit SDK.

• Experience designing and interfacing with cloud-native architectures, including microservices, APIs, event-driven systems, and hybrid deployment environments.