IonQ
Quantum Computing
StaffSystemsIntegrationEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Systems Integration Engineer at IonQ. Skills: Systems Integration, Hardware-focused software engineering, Verification and Validation, Research to Engineering Transition, Quantum Networking. Collaborating with physicists to translate research findings into initial performance requirements and system specifications. Analyzing and aligning system requirements with scientific understandings and project objectives to develop verification and validation test plans”
What You'll Achieve.
Achieve 20x performance results; Accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense; Setting a world record in quantum computing performance; Build the world’s best quantum computers to solve the world’s most complex problems; Transition research and development into highly functional systems; Increase technological readiness levels
Industry & Context.
Problem-solving
Up to 20% domestic and/or international travel, Work onsite at our office located in Bothell, WA, Must be a U. S. Person (U. S. citizen, U. S. national, U. S. permanent resident, or lawfully admitted into the U. S. as a refugee or granted asylum) for export controls and government contracts work, Employment contingent on verifying U. S. Person status or obtaining necessary licenses/exceptions
What They're Looking For.
Must Have
Bachelor's degree in Engineering, Physics, or related field, 10 years of relevant experience in a development role, Complex hardware and software integration that led to a system achieving production readiness, Bringing systems through a complete development cycle, increasing the technological readiness levels, Hardware-focused software development that includes hardware test scripting, monitoring of telemetry, and instrumentation for remote operation, Embedded software programming, FPGA development
Nice to Have
M. S. in Engineering or related field, Extensive experience in system design and assembly, particularly within high-precision technological fields, Proven ability to synthesize scientific research into actionable engineering tasks and projects, Advanced proficiency in Python, Java, MATLAB, or similar programming languages used in scientific research and engineering development, Excellent communication and data visualization skills, capable of bridging the gap between ideation and practical system engineering, Proficiency in technical performance tracking, Familiarity with engineering tool suites, Familiarity with model-based engineering practices, INCOSE Systems Engineering Professional (SEP) certification or similar, Experienced with hardware performance monitoring and analysis, Experienced with telemetry streaming platforms like Grafana, Experienced with programming and automation of instrumentation and control systems, Experienced with development of Graphical User Interfaces for advanced control and troubleshooting of hardware, Experienced with embedded software design and programming, Experienced with FPGA development, Solid understanding of configuration management and source code management systems
What You'll Do.
Collaborating with physicists to translate research findings into initial performance requirements and system specifications
Analyzing and aligning system requirements with scientific understandings and project objectives to develop verification and validation test plans
Overseeing subsystem integration and conducting system-level testing
incorporating research findings to refine protocols and report on test results
Developing and managing key performance parameters
providing documentation and engineering support based on empirical research or test results
Developing and leading data-driven trade studies for design and material selection
leveraging academic research
Working hands-on in a hardware-in-loop environment to validate hardware functionality
and managing automated testing and deployment processes
Developing Graphical User Interfaces for advanced control and troubleshooting of hardware
How You'll Work.
Team & Collaboration
Cross-functional team; Collaborating with physicists; Collaborating with engineers
Communication Scope
Excellent communication skills; Data visualization skills; Bridging the gap between ideation and practical system engineering
Process & Methodology
Managing key performance parameters, Managing automated testing and deployment processes
Full Job Description
About IonQ: IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance. Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. Location: This role will work onsite at our office located in Bothell, WA. Travel: Up to 20% domestic and/or international travel Job ID: 1521 The Role: We are seeking a highly skilled Staff Level Systems Integration Engineer to join the Quantum Networking team at IonQ. As a Staff Level Systems Integration Engineer, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. In this position, you will be instrumental in driving the fusion of theoretical research and applied engineering, working closely with a team of physicists and engineers to transition research and development into highly functional systems. The ideal candidate will have at least 10 years of experience in cross-disciplinary system integration and test, with a strong background
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