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QPU Production Test Development Manager

Job in College Park, Prince George's County, Maryland, 20741, USA
Listing for: NightDragon Acquisition Corp.
Full Time position
Listed on 2026-10-19
Job specializations:
  • Engineering
    Quality Engineering, Test Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 160000 - 240000 USD Yearly USD 160000.00 240000.00 YEAR
Job Description & How to Apply Below
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.

Role:

We are seeking a QPU Production Test Development Manager to lead the engineers and technicians responsible for validating new QPU designs and verifying that manufactured QPUs meet agreed performance and acceptance criteria. You will own the test strategy, laboratory capability, and execution of test campaigns, working across design, science, engineering, and manufacturing teams.

The role sits within Device Operations, alongside fabrication, packaging and quality. As IonQ works with foundry and packaging partners to scale QPU production, you will define what a good test looks like and what makes a certified QPU, then make sure our partners follow that recipe as test functions move to them along the product roadmap.

Responsibilities:

In this position, you will own the test roadmap, team priorities, laboratory readiness, and the quality of the data used to make QPU decisions. Working with QPU design, science, systems engineering, packaging, software, and manufacturing teams across multiple sites, you will turn requirements into repeatable test plans and clear acceptance criteria. This is a technical leadership role for someone who can guide complex hardware investigations while developing engineers and improving test throughput.

QPUs are scarce, so much of the work is finding upstream methods that let a device pass a gate into the next test level. Done well, this builds a yield and quality picture that predicts final performance long before a QPU reaches the end of the line. You will build a team of around four people in your first year and work closely with the design team in Oxford and our fabrication partners in Minnesota.

Key responsibilities include:
  • Lead, coach, and grow a team of test engineers and technicians, setting priorities, providing technical guidance, and building effective test laboratory practices.
  • Own QPU test strategy from design validation through manufacturing verification, at both die and package level, including coverage, procedures, common pass/fail criteria, and a standard test report format used consistently across sites and test stations.
  • Plan and coordinate parallel test campaigns across labs at multiple sites, balancing QPU availability, laboratory capacity, equipment budget, vendor lead times, and program milestones.
  • Establish reliable test infrastructure and automated workflows, oversee equipment qualification, calibration, and maintenance, and track measures of coverage, repeatability, cycle time, data quality, and traceability.
  • Lead the response to ambiguous results and QPU failures through structured root cause analysis with design, science, packaging,…
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