At IBM Quantum Software, we are looking for an experienced performance test engineer. The ideal candidate is results-driven and can distill test analysis input into a technical performance test strategy. This role is responsible for defining and designing the performance test methods and tools, with practical experience to choose and create a set of tools and frameworks that would be used in running tests. Additionally, this individual should also be able to gain a clear understanding of the IBM Quantum software stack and work closely with the reliability team to contribute to the overall health, reliability, and availability of this complex distributed software. The tech lead works closely with the software testers to enable them conduct tests, analyze the results, and report observations to the software team. The teach lead will also interact with the support team to understand the common patterns of failures and issues in the product and ensure the necessary strategy is defined to address such concerns.
You will be part of a team whose mission is to advance the performance of the state-of-the-art IBM quantum control systems. As a Performance Software Engineer in IBM Quantum, you will collaborate with a multi-disciplinary, global team of developers and researchers in the IBM Quantum Team to bring new capabilities to life. Your work will sit at the intersection of experimental quantum computing, compilers, and heterogenous computer architectures, and help develop the software stack for the next generation of quantum computers. If you are self-motivated, curious, and love to code, we have the right opportunity for you!
· Solid experience as a performance engineer in distributed environments.
· Deep familiarity with observability tools (Prometheus, Grafana, OpenTelemetry, etc.).
· Strong knowledge of networking, I/O, concurrency, and operating systems internals.
· Proficiency in profiling applications in multiple languages (e.g., Go, Rust, C/C++, Python).
· Experience with cloud-native infrastructure (Kubernetes, containers, distributed services).
· Contributions to benchmarking and performance analysis tools.
· Experience with heterogeneous environments (edge, bare metal + cloud).
· Knowledge of advanced protocols (QUIC, gRPC, RDMA).
· Awareness of energy efficiency and low-level system optimization.
· Familiarity with quantum circuits, circuit optimizers, and quantum algorithms.
· Experience with collaborative software development and agile methodologies (design documents, code reviews).
· Experience with containerization technologies - Kubernetes/Red Hat OpenShift (preferred) or similar.
· Familiarity with quantum circuits, circuit optimizers, and quantum algorithms.