Validation Engineer- Quantum Control Systems
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 1, 2026.
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