Quantum Machines (QM) is a global leader in control systems for quantum computing, a field on the verge of exponential growth. Our innovative hardware and software provide a groundbreaking approach to quantum computer control, scaling from individual qubits to arrays of thousands. At the heart of QM is a passionate and ambitious team committed to reshaping how quantum computers are built and operated. Our work is fueled by a deep understanding of customer needs, enabling us to deliver unparalleled solutions in this revolutionary field.
We are looking for a Backend Software Engineer who embodies ambition and positivity, takes ownership, and collaborates effectively with remote teams to not only meet but exceed our objectives while addressing the evolving needs of our growing customer base.
You will design, build, and maintain backend services that power the control and orchestration systems at the core of our platform, including components that manage system configuration, health, and cluster operations across a distributed, networked environment.
You'll work across the stack to integrate with hardware-facing and embedded systems, collaborate with multiple teams to support installation and setup of software components on our products, and help ensure our systems are reliable, observable, and easy to operate.
The role involves owning features end-to-end, from design through implementation, while working closely with engineers across sites and disciplines.
Requirements
5+ years of experience in backend development.
Proficient in at least one of Go, Python, or Kotlin, with a willingness to learn the others.
Comfortable working in a Linux environment and managing configuration with Ansible.
Experience with inter-process communication over network protocols (TCP/UDP, gRPC, REST) on Linux, including debugging connectivity and latency issues.
Proven track record in the full software development lifecycle: from requirements engineering and design to development and testing.
Passionate about technology and able to dive into new technologies quickly.
Strong engineering capabilities with the ability to work independently.
Capable of executing under uncertainty in a dynamic environment.