Live opening · Posted 8 hours ago

QPU Software Engineer

QuEra Computing, Inc. · Boston, MA, USA
Greenhouse
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At a glance

The key details from the original listing.

Posted 8 hours ago
CompanyQuEra Computing, Inc.
LocationBoston, MA, USA
SourceGreenhouse
Listed8 hours ago

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About the role

Description supplied by the original job listing.

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.

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