
Research Services · 201 people
Control System Engineer/Site Reliability Engineer (SRE)
Posted 28 Oct
What’s this role about? The role involves integrating, maintaining, and troubleshooting hardware and software control systems for quantum computers. You will also manage infrastructure, automate provisioning, and collaborate with engineering teams to ensure system reliability and operational functionality.
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Company
About QuEra Computing, Inc. Quantum computing is moving from "one day" to "day one." QuEra Computing is leading that transition. Founded in 2018 on breakthrough research from Harvard and MIT, QuEra builds neutral-atom quantum computers using a unique multi-zone architecture. The result: reconfigurable qubit connectivity, room-temperature operation, and a scalable path to fault-tolerant quantum computing, with dozens logical qubits already demonstrated. QuEra systems are operational today. The company delivered a 260-qubit quantum computer to Japan's AIST integrated with one of the world's most powerful supercomputers, earned selection for DARPA's Quantum Benchmarks Initiative, and offers its Aquila quantum computer on Amazon Braket. Its Gemini gate-based system extends these capabilities for enterprise and research applications. Backed by $230M from Google, NVIDIA, SoftBank, and others, QuEra partners with Dell Technologies, NVIDIA, Deloitte, and a 29-member Quantum Alliance. Headquartered in Boston with operations in Japan and the UK. Visit quera.com to learn more.
QuEra Computing, Inc.
QuEra is putting quantum to work for enterprise innovators, HPC centers, and governments

Responsibilities
- Implement, maintain and test software and hardware in a heterogeneous system that controls disparate computer system devices.
- Define, document, implement and test procedures for QuEra’s Quantum computer operations.
- Manage science, development and testing infrastructure, including hardware-in-the-loop (HIL) setups, containerized services (K8S), routers, switches, and test systems.
- Propose, and/or implement automated provisioning, configuration, and orchestration of local and remote compute systems used in controlling and testing, simulations.
- Collaborate with software and test engineering teams to ensure smooth integration/deployment of DevOps tools with custom hardware and quantum-specific workflows.
- Maintain artifact repositories, test result dashboards, and infrastructure for tracking regressions and system health.
- Establish and enforce best practices for access control, system configuration, and lab operations.
- Support incident response, troubleshooting, and root cause analysis for CI/CD failures or system anomalies.
- Implement automation for monitoring and alerting for systems and services, integrating logs and metrics from embedded systems, test benches, and orchestration layers.
- Work with CI/CD pipelines for building, testing, and deploying software and firmware across the quantum control stack.
Qualification
Required
- Practical implementation of LAN and WAN technologies on switches and routers (to include but not be limited to VLAN configuration, DNS, DHCP, and TCP/IP based services)
- Practical Linux (Ubuntu, Debian, Redhat) and Windows Administration experience, to include but not be limited to network operations and, application installation and debugging
- Proficiency in scripting languages such as Python, Bash, or Go, and familiarity with tools like Docker, Git, and Kubernetes.
- Experience with CI/CD tools (e.g., GitLab CI, Jenkins) and infrastructure-as-code platforms (e.g., Ansible, Terraform, or similar).
- Familiarity with observability tools (e.g., Grafana, Prometheus, ELK stack) and logging systems for real-time data monitoring.
- Hands on experience with rack mount servers
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5-8 years of experience in a Network SQA, Systems Engineering, SRE, or infrastructure engineering roles.
Preferred
- Experience supporting hybrid systems involving embedded devices, custom hardware, or real-time control systems.
- Knowledge of secure software deployment and Product life cycles.
- Experience with hardware-in-the-loop pipelines or distributed lab/test automation environments.
- Exposure to scientific computing, HPC, or quantum software stacks is a plus.
- Ability to thrive in fast-moving, interdisciplinary R&D teams.
- Salary range is $160,000-$200,000. We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.
Benefits
- Equity grants
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