QPU Software Engineer

Role Overview 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. Key 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. Required Qualifications 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. </ul