Staff Software Engineer, System Orchestration

About the role

The Staff Software Engineer will join the System Orchestration team to build and operate the control plane software for quantum computers. This role involves developing systems that manage calibration, scheduling, and data recording to ensure quantum systems operate efficiently and reliably. You will work hands-on in a Rust-based codebase to solve complex system-level challenges and improve the durability and performance of the fleet.

Responsibilities

• Take on the problems that span the whole control plane - the durability and recovery contracts the rest of the design rests on.
• Make a machine's own assessment of its readiness something the rest of the control plane can rely on.
• Do the deep diagnosis of failures that only appear on a live system, under real load.
• Remove whole classes of failure across the fleet, rather than instances of them.
• Draw the boundaries between our services, settle them in writing, and move the code across them yourself.
• Make the correctness of a design demonstrable rather than argued.
• Build the tooling and test infrastructure that let the whole team move faster.
• Evolve how our services are deployed and operated as the fleet grows.
• Raise the bar of everyone around you through the code you write and the reviews you give.

Required skills

• Systems engineering
• Rust
• gRPC
• REST
• PostgreSQL
• Distributed systems
• Error handling
• Observability

Nice to have

• Kubernetes
• Temporal
• Hatchet
• Airflow
• Slurm
• Distributed tracing
• Formal specification
• Model checking

Benefits

• IonQ stock options
• Annual performance bonus
• Generous annual leave
• Private medical insurance
• Dental insurance

About the Company

IonQ, Inc. is a leading quantum platform and merchant supplier delivering integrated quantum solutions across computing, networking, sensing, and security. The company is known for its cutting-edge quantum systems that help partners achieve significant performance results in fields like drug discovery, materials science, and financial modeling.