Quantum Machines

Lead technical implementation and integration of quantum control systems for customers, collaborating with R&D teams and managing technical relationships. | Requires 4+ years of experimental quantum information science and computing, proficiency in Python, and strong interpersonal skills. | Quantum Machines (QM) is a global leader in quantum computing control systems. Through our pioneering hardware and software solutions based on instruction-based quantum control, we're revolutionizing how quantum computers are built and controlled. As we stand at the forefront of exponential growth in quantum computing, we're assembling an elite team that actively shapes the evolution of quantum technologies. We're seeking an exceptional experimental Physicist who combines deep quantum physics expertise with strong interpersonal skills. In this role, you'll serve as the technical bridge between QM's technology and our customers, ensuring successful implementation, adoption, and continuous utilization of our solutions. This unique position offers unprecedented exposure to diverse qubit types and quantum architectures, enabling you to help customers navigate and implement groundbreaking experiments. You'll be translating emerging capabilities into practical customer applications, directly contributing to the acceleration of quantum computing development. Responsibilities: • Lead technical implementation and integration of QM solutions for customers • Collaborate with R&D teams to optimize solution delivery and product improvements • Provide technical guidance on best practices for quantum control systems • Manage technical relationships with your accounts • Translate complex customer requirements into actionable technical solutions • Work closely with customers to achieve their quantum computing research objectives Requirements: • 4+ years of experimental quantum information science and computing • Demonstrated experience in Python programming • Excellence in technical communication and interpersonal skills • Willingness to travel for customer engagement

Managing customer relationships, onboarding, and strategic account growth in a SaaS environment. | Experience in SaaS, customer success, account management, and data analytics, with strong communication skills. | Quantum Machines (QM) is a global leader in quantum computing control systems. Through our pioneering hardware and software solutions based on instruction-based quantum control, we're revolutionizing how quantum computers are built and controlled. As we stand at the forefront of exponential growth in quantum computing, we're assembling an elite team that actively shapes the evolution of quantum technologies. We're seeking an exceptional experimental Physicist who combines deep quantum physics expertise with strong interpersonal skills. In this role, you'll serve as the technical bridge between QM's technology and our customers, ensuring successful implementation, adoption, and continuous utilization of our solutions. This unique position offers unprecedented exposure to diverse qubit types and quantum architectures, enabling you to help customers navigate and implement groundbreaking experiments. You'll be translating emerging capabilities into practical customer applications, directly contributing to the acceleration of quantum computing development. Responsibilities: • Lead technical implementation and integration of QM solutions for customers • Collaborate with R&D teams to optimize solution delivery and product improvements • Provide technical guidance on best practices for quantum control systems • Manage technical relationships with your accounts • Translate complex customer requirements into actionable technical solutions • Work closely with customers to achieve their quantum computing research objectives Requirements: • 4+ years of experimental quantum information science and computing • Demonstrated experience in Python programming • Excellence in technical communication and interpersonal skills • Willingness to travel for customer engagement

Design, build, and operate research-focused bare-metal Kubernetes clusters and infrastructure automation tools. | Extensive experience with Python, Kubernetes, Linux, Redis, PostgreSQL, and DevOps tools like Argo CD and Argo Workflows, with a focus on infrastructure automation and security. | The Israeli Quantum Computing Center (IQCC) is a cutting-edge national facility, providing world-class infrastructure supporting quantum computing research and development for both academia and industry. The IQCC is managed and operated by Quantum Machines (QM), the global leader in quantum computing control systems. We design, build, and operate datacenter infrastructure for next-generation quantum computers and advanced research systems. Our focus is on extensibility, openness, and full hackability across the entire stack—from bare-metal hardware to user-facing services. Our platforms enable researchers around the world to experiment, iterate, and collaborate, while also allowing nascent industries to prototype, validate, and create new intellectual property. By combining high-performance compute, modern cloud-native tooling, and open-source principles, we aim to accelerate progress in both fundamental research and real-world applications. We are looking for a Platform / DevOps Engineer to design, build, and operate the core infrastructure for a research compute datacenter. This platform supports researchers and physicists by providing scalable compute resources and exposing selected physics experiments to external users as Software-as-a-Service (SaaS). What You’ll Do • Design, maintain, and operate bare-metal Kubernetes clusters used for research and production workloads • Build and manage declarative GitOps and workflows using tools such as Argo CD and Argo Workflows • Develop and maintain Python-based infrastructure automation, backend services, APIs, and internal tooling for Kubernetes-based research platforms • Administer and support core services such as Linux systems, Redis, and PostgreSQL • Implement and evolve networking and security policies, including Cilium-based enforcement • Collaborate with researchers to expose internal physics experiments as external SaaS services • Contribute to internal platforms and, where possible, open-source projects • Continuously improve reliability, observability, and developer/researcher experience Requirements: Required Skills & Experience • Strong experience with Python (automation, tooling, or backend services), >5 years • Hands-on experience maintaining bare-metal Kubernetes clusters, >3 years • Practical knowledge of GitOps and DevOps tools, especially Argo CD, Argo Workflows, >3 years • Solid Linux system administration skills • Experience operating Redis and PostgreSQL in production environments, >3 years • Comfortable working in complex, distributed infrastructure environments • Excellent communication skills for collaborating with cross-disciplinary teams • Commitment to thorough documentation and knowledge sharing • Ability to design and implement reusable infrastructure patterns What Makes This Role Unique • Direct impact on scientific research and real-world physics experiments • Opportunity to work on non-cloud, high-performance, bare-metal infrastructure • Strong emphasis on open-source technologies and best practices • A mix of deep infrastructure engineering and exposure to user-facing services • Location & Work Arrangement • This position is open to candidates based in the USA. We offer full-time remote work, allowing you to contribute from anywhere within the country while collaborating closely with our team and researchers. Preferred Skills: Nice to Have / Willing to Learn • Basic knowledge of Cilium and Tetragon networking and policy enforcement (or strong interest in learning it) • Basic web development experience, preferably with Svelte (or interest in learning frontend technologies) • Experience contributing to or maintaining open-source software • Minor bonus: some familiarity with Go (Golang) is a plus but completely optional • **Location & Work Arrangement*** This position is open to candidates based in the USA. We offer full-time remote work, allowing you to contribute from anywhere within the country while collaborating closely with our team and researchers.