5 hours ago
Oxford, United KingdomMid Level
Responsibilities
- Build and extend services that schedule work on quantum computers and maintain execution records.
- Develop mechanisms that determine when systems need retuning and trigger calibration runs.
- Own persisted data models, migrations, and read/write code.
- Create tests and harnesses for exercising code against real hardware and simulators.
- Collaborate with systems teams to roll releases out across the fleet and support deployed services.
- Improve observability, participate in code reviews, and improve internal APIs.
Requirements
- Strong programming skills in one or more mainstream programming languages.
- Experience with a systems programming language, or willingness to learn Rust.
- Comfort with relational databases and SQL, particularly PostgreSQL.
- Some exposure to networked services and APIs such as gRPC or REST.
- Exposure to schedulers, job queues, or workflow engines such as Celery, Airflow, Temporal, or Slurm.
- Comfort working in Linux and debugging running services.
- Good communication skills across software and other disciplines.
- A habit of producing appropriate tests and participating in code review.
- Useful additional experience includes async programming, containers, Kubernetes, closed-loop systems, and scientific computing or research facilities.
Benefits
- Hybrid working arrangement in Oxford, UK.
- Opportunities for career development alongside industry leaders.
- IonQ stock options and an annual performance bonus.
- Generous annual leave, flexible hybrid working, and paid holidays.
- Private medical, dental, and vision insurance for employees and families.
- Matching 401(k), parental/adoption leave, legal insurance, and a home technology stipend.
Tech Stack
Categories
About IonQ
IonQ builds trapped-ion quantum computers and offers access to them via major cloud platforms and direct systems for enterprise and research users. The public company (NYSE: IONQ), founded in 2015 and headquartered in College Park, Maryland, sells quantum hardware, cloud services, and development tools used in areas like materials modeling, optimization, and machine learning. Its systems are available through AWS Braket, Microsoft Azure Quantum, and Google Cloud Marketplace.