Quantum Machines

Description Lead the configuration management and product data management functions on a global scale throughout the product lifecycle. Ensure the integrity of engineering data, full traceability, effective change governance, component risk management, and the reliability of the product configuration along the product lifecycle. Key responsibilities Defining the organizational configuration management strategy and drive continuous improvement of processes, methodologies, and tools across the product lifecycle. •Lead configuration management processes for complex products comprising hardware, electromechanics & software. •Ensure the accuracy, integrity, and consistency of product data within PLM and ERP systems. •Managing the lifecycle of part numbers and establishing organizational standards for product data management. •Leading ECO/ECR processes and the release of engineering changes throughout the product lifecycle. •Managing product and assembly revisions (Revision Control). •Managing the Approved Parts List (APL) and Approved Vendor List (AVL) in collaboration with R&D, Procurement, Quality, and Supply Chain teams. •Leading Change Control Boards (CCB) and coordinating across R&D, NPI, Manufacturing, Procurement, Quality, and Operations. •Ensuring full traceability between product requirements, design, parts, documentation, and manufacturing releases. •Conducting configuration audits to identify gaps and engineering risks. Developing improvement and optimization initiatives within configuration management, engineering data, and product lifecycle processes. •Defining KPI’s to monitor configuration data quality and product readiness for release. •Managing component obsolescence using tools such as Silicon Expert—including risk monitoring, component availability analysis, identifying alternatives, and developing mitigation plans. •Collaborating with R&D, Procurement, NPI, and Supply Chain teams to develop mitigation plans and identify alternatives for at-risk components. •Establishing KPI’s to monitor BOM risk levels, component availability, and exposure to at-risk components. •Developing reports and performance metrics regarding ECO’s Requirements •Bachelor's degree in mechanical engineering/ industrial engineering & management. •5+ years of experience in configuration control, product configuration management, or NPI engineering. •Experience working with PLM systems (e.g., Agile PLM, Arena, etc.). •Experience working with SiliconExpert. •Experience working with Microsoft Dynamics 365 F&O- advantage •In-depth familiarity with ECO processes, BOM management, and Product Lifecycle Management (PLM). •Strong leadership skills, ability to manage multiple interfaces, and a broad systems-level perspective. •High-level proficiency in English. •Experience leading global, cross-organizational processes

Description Quantum Machines is the global leader in control systems for quantum computing, providing the hardware and software tools researchers and businesses need in order to build quantum computers from the ground up. We are pushing the envelope in a field on the verge of exponential growth, bringing about opportunities like those made possible with the invention of classical computing 50 years ago. We are assembling the strongest team of professionals in the world with the goal of revolutionizing how quantum computers are built and controlled while accelerating their arrival. Come join a multi-disciplinary, world-class team and work on a new class of problems at the cutting edge of technology, science, and business. We are seeking for a passionate and skilled Validation Engineer to join our core R&D team. As a Validation Engineer, you'll play a critical role in ensuring the quality, reliability, and performance of our state-of-the-art quantum control systems. You will design, develop, and execute validation plans for complex hardware-software systems, contributing directly to the advancement of quantum technologies. This role is ideal for engineers with good programming skills, a strong technical culture, and a passion for working at the intersection of software, hardware, and quantum science. Location: Israel / Germany (based on candidate location). Main Responsibilities: · Design and Implement Validation Methods: Design, implement and execute comprehensive validation test plans for our quantum control platforms and solutions · Automated Tests and Automation Frameworks: Contribute to the development of automated testing infrastructures to streamline validation processes and implement system tests based on the defined test plans · AI/ LLM Tools: Apply AI/LLM tools to accelerate test code generation and continuously improve the validation toolchain, driving measurable gains in engineering productivity · Data Analysis: Collect, interpret, and document data from system tests/experiments to assess system performance and identify areas for improvement · System Debugging & Troubleshooting: Identify, reproduce, and analyze issues across system components with other engineering teams · Collaborate Across Teams: Collaborate closely with R&D and product teams to define test coverage and quality acceptance criteria · Release & Quality Assurance Process: Participate in regression testing and CI/CD for new feature rollouts and product releases · Maintain and Improve Test Setups: Oversee the setup, calibration, and enhancement of test equipment and environments Requirements Key Requirements: • M.Sc./PhD in Electrical Engineering, Computer Science, Physics, or a related field. – Must • 3+ years of professional experience with Python or other high level programming language - Must • Deep understanding of hardware-software system architecture and debugging- Must • Excellent problem-solving, team-player and communication skills- Must • Experience using AI tools to accelerate test development — e.g., leveraging LLM-based coding assistants (GitHub Copilot, Claude, Cursor, etc.) to generate and maintain test code, scripts, and validation tooling. Comfortable evaluating AI-generated code for correctness and integrating it into existing test frameworks and CI/CD pipelines- Advantage • Enjoys working in a highly driven multi-disciplinary team • Strong technical background with experience in validation, test automation, or system integration – Advantage • Experience working with lab instruments and signal processing tools- Advantage

Description Quantum Machines is a global leader in control systems for quantum computing, a field on the verge of exponential growth. Our innovative hardware and software mark a groundbreaking approach in quantum computer control, scaling from individual qubits to expansive arrays of thousands. At the core of QM lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers. Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field. We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base. The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and quantum physicists. Responsibilities: • Practicing the full range of verification aspects • Creating a verification environment from scratch (drivers, monitors, coverage...) • VIP (DDR/PCIe/AXI) integration • Defining verification sequences via a complex control-flow constraint set • System understanding of a full-stack product with strong HW-SW coupling • Reference model integration • Test plan definition • Defining verification flows and creating the proper infrastructure to support it Requirements • 3- 5 years of experience with UVM, System Verilog. • Ability to ramp up verification environments from scratch. • Knowledge of Verification IPs and protocols (PCIe, DDR, AXI). • Good understanding of HW/SW interaction- Advantage • Knowledge in C/C++/Python/System C - Advantage