QPU Software Engineer

QuEra ComputingBoston, MA
1d$130,000 - $185,000

About The Position

We are seeking a Software Engineer to join our QPU SW Engineering team. In this role, you will develop the software that orchestrates and controls our quantum hardware stack—from real-time control of lasers and FPGAs to system-wide configuration, diagnostics, and feedback. Working closely with physicists, systems architects, and hardware engineers, you’ll build the tools and infrastructure that enable precise, reliable, and scalable quantum operations.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Physics, or a related field.
  • 5+ years of experience developing software for hardware control, embedded systems, or distributed systems.
  • Strong programming skills in Python and/or C/C++ , and experience working with hardware interfaces (e.g., SPI, I2C, UART, Ethernet).
  • Experience with real-time systems or hardware-in-the-loop control environments.
  • Familiarity with timing systems (e.g., PTP), and communication stacks.
  • Proficiency in system integration, testing, and performance tuning.

Nice To Haves

  • Experience with scientific instrumentation, lab automation, or quantum hardware control systems.
  • Familiarity with FPGA systems, DAC/ADC control, or pulse sequencing frameworks.
  • Exposure to embedded Linux, RTOS, or custom firmware development.
  • Knowledge of calibration, feedback, or control loop algorithms.
  • Experience in multidisciplinary teams working at the intersection of hardware, software, and science.

Responsibilities

  • Design and implement software systems for orchestrating quantum experiments, including pulse sequence generation, device coordination, and real-time system control.
  • Develop and maintain APIs and middleware that connect hardware control layers (e.g., FPGA, DACs, timing systems) with higher-level orchestration software and compilers.
  • Implement reliable communication and synchronization protocols across embedded and distributed system components.
  • Collaborate with system architects and physicists to translate experimental requirements into testable, high-performance software features.
  • Contribute to diagnostic and calibration routines for hardware validation and performance monitoring.
  • Develop tooling to support automation, test infrastructure, system state management, and logging.
  • Participate in system bring-up, integration testing, and cross-disciplinary debugging efforts.
  • Contribute to software architecture decisions, code reviews, and best practices across the engineering team.
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