QPU Software Engineer

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., * 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.

• 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.

Preferred Qualifications

• 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.