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OQC is building commercial quantum computing systems. As a Senior Software Engineer in Calibration Operations, you will design and build the software systems that automate calibration, benchmarking, and bring-up of OQC's quantum computers. Your work will support automated system bring-up, daily calibration, and performance remediation, delivering reliable software for both production systems and rapidly evolving research environments.
You'll focus on system architecture, distributed workflows, event-driven services, observability, and production reliability. You'll build services and engineering capabilities that make calibration workflows scalable, resilient, and easier to operate, diagnose, and support. Quantum computing knowledge is helpful but not required; you'll work closely with quantum engineers and research scientists who provide domain expertise.
Key responsibilities include:
- Design the architecture of scalable calibration and benchmarking services for automated system bring-up, daily calibration, and performance remediation
- Develop event-driven systems to orchestrate calibration workflows, defining event schemas, service interfaces, and data flows across distributed systems
- Build observability into calibration platforms through structured logging, metrics, distributed tracing, dashboards, and alerting
- Improve reliability, fault tolerance, and recovery behavior of long-running scientific workflows
- Integrate calibration services with control, data, compiler, and platform infrastructure
- Diagnose and resolve issues across services, workflows, infrastructure boundaries, and production environments
- Establish engineering patterns for testing, deployment, monitoring, and operational readiness
- Own software projects from requirements and architectural design through deployment and ongoing operation
- Contribute to architectural decisions and share software-engineering knowledge across the team
REQUIREMENTS:
- Strong Python programming skills and experience applying modern software-engineering practices
- Experience designing and delivering complex software systems from concept to production, with strong understanding of system design, software architecture, and service boundaries
- Experience with distributed systems and asynchronous or event-driven architectures
- Practical experience with event streaming, message brokers, queues, or publish-subscribe systems
- Experience designing observable systems using logs, metrics, distributed tracing, dashboards, and alerts
- Understanding of reliability concepts such as retries, idempotency, failure recovery, backpressure, and graceful degradation
- Experience designing APIs, data models, event schemas, and integration contracts
- Strong testing and debugging skills across local, development, and production environments
- Experience with containers, continuous integration and delivery (CI/CD), and cloud-native deployment environments
- Ability to communicate architectural decisions clearly and collaborate across software, engineering, and scientific disciplines
- Degree-level knowledge in computer science, software engineering, physics, or a related discipline
NICE-TO-HAVES:
- Knowledge of quantum computing or interest in learning about quantum systems
- Experience with calibration, benchmarking, optimization, or automated experimentation
- Familiarity with machine-learning infrastructure, reinforcement learning, or black-box optimization
- Experience integrating software with laboratory equipment, control systems, or physical hardware
- Experience developing user-facing operational or scientific tools
- Contributions to open-source projects, technical publications, or conference presentations
- Postgraduate qualification (MSc or PhD) or equivalent experience in computer science, software engineering, physics, or related discipline
