At IQM, we build world-leading quantum computers for the well-being of humankind. We design systems to tackle computational challenges beyond the practical limits of classical machines. Our work sits at the edge of science and engineering. It's complex, demanding, and deeply collaborative. We turn deep research into reliable, full-stack systems that drive discoveries in fields like medicine, energy, and technology, reshaping how the world computes.
Join the team that gives quantum a heartbeat.
The work
As a Quantum Integration Engineer, you ensure IQM quantum computers operate reliably across cloud, customer, and internal R&D environments. You work hands on with calibration, system stability, software updates, and incident resolution.
You collaborate closely with R&D teams, acting as an expert for our systems. You identify performance deviations, debug complex issues, and translate real system behavior into structured feedback that improves the next generation of our technology used for research worldwide.
Your work ensures that our quantum computers are not just built, but operational, stable, and scientifically usable.
What you’ll actually do
- Operate and maintain IQM quantum computers across cloud and customer environments, ensuring high availability and stable performance
- Plan and execute calibration and service activities aligned with customer and user needs
- Perform on-site debugging and testing
- Analyze system performance, identify deviations, and troubleshoot hardware and software issues affecting system behavior and stability
- Contribute to L2 incident resolution and technical support for customer systems
- Perform testing, debugging and calibration during customer system deliveries and commissioning
- Act as a key interface between production systems and R&D, providing structured technical feedback to improve performance, usability, and reliability
- Develop and refine service documentation, procedures, and laboratory best practices
What we’re looking for
- Master's degree in quantum physics, experimental physics, engineering, or a closely related field. A PhD is considered an advantage
- Experience working with complex experimental or high-tech systems such as superconducting circuits, cryogenic setups, RF systems, or similar advanced hardware environments
- Strong understanding of quantum computer architecture and calibration, as well as system level performance dependencies
- Experience in troubleshooting hardware and software integration issues in research or production environments
- Ability to analyze experimental data and identify root causes of performance deviations
- Proficiency in Python or a similar programming language
- Experience documenting procedures, experiments, and technical findings in a structured way
- Ability to take ownership of tasks, manage multiple priorities, and collaborate effectively across R&D, engineering, and customer facing teams in various time zones
- Commitment to reliability, safety, and continuous improvement
- Excellent communication skills in English and Japanese, with the ability to explain complex technical topics to both technical and non-technical audiences
- Willingness and ability to travel to customer premises as needed
Seen as beneficial
- Experience with superconducting quantum computing systems and cryogenic measurement setups
- Experience operating quantum computers in cloud or production environments
- Familiarity with incident management processes in online or high availability systems
Experience supporting external research users or industrial customers Why IQM?
- Full-stack quantum computing: From quantum hardware to software layers and beyond, we build across the full-stack.
- High-performance playground: We aim high, and we know sustainable performance only works when life outside work does too—hybrid setups, flexible hours.
- Never the smartest: Expect to learn constantly. You won't always be the smartest person in the room, and that's the point.
- Approachable leadership: Flat hierarchy, direct access. Feel free to approach any leaders. They're friendlier than they look!
- The sweet spot: Big enough to matter. Small enough to move fast. Growing between a startup and a corporation. We’re in the phase where top performers get noticed.
- Bigger than IQM: Our people build know-how for the entire quantum ecosystem. We publish papers, run hackathons, and help shape a market that's still being defined.
The future of computing won’t build itself. You might be one of the few who do.
We'll start interviews and move forward with hiring as soon as we meet strong candidates. Please submit your application soon.
600M€+ Total Funding | 400+ Team Members | 30+ Quantum Computers Built | 300+ Patents Filed | 10 Location Globally
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The emergence of Quantum Integration Engineers represents a vital operational transition within the deep-tech sector from laboratory experimentation to systemic reliability. As physical hardware modality architectures advance, the structural requirement for roles that stabilize the interface between experimental infrastructure and deployment environments becomes acute. This specialism directly addresses the integration complexity within the quantum value chain, converting physical assemblies into high-availability computing systems. By managing the crucial threshold where multi-layered hardware configurations intersect with control software, this function mitigates systemic execution risks associated with hardware degradation and environmental decoherence. Consequently, these positions serve as primary stabilization anchors, translating deep scientific research into reliable and reproducible computational uptime for early industrial adoption.
The superconducting quantum computing sector is moving from a focus on individual component metrics to total system-level availability and performance stability. While manufacturing and lithography advancements continue to yield higher qubit counts, the primary bottleneck for continuous deployment remains the management of real-time operational deviations and complex calibration loops. The current sector-wide focus lies on bridging classical and quantum capabilities at scale, necessitating specialized systems engineering to maintain high fidelity across cloud environments and private installations. These infrastructure dependencies mean that any unintended fluctuation in cryogenic or radiofrequency subsystems can severely compromise operational readiness, making hardware-software integration a critical leverage point for commercial scalability.
Workforce scarcity is particularly pronounced at the intersection of experimental physics and production-level system maintenance. As platforms scale toward early fault tolerance, the quantum ecosystem requires professionals who can systematically isolate cross-functional faults without relying on pure academic experimentation methods. Sector-wide efforts continue to address talent and integration challenges in quantum systems, driven partly by national technology strategies and enterprise requirements for verifiable uptime. This structural layer of technical support dictates the pace at which quantum processing units can be successfully commissioned, delivered, and trusted by external research bodies and industrial partners.
The capability architecture for this engineering role centers on the synchronization of cryogenic microwave electronics with automation software layers. Mastery of system-level dependencies is essential for establishing standardized diagnostic frameworks that capture anomalies across both classical control hardware and superconducting qubit chips. This requires deep familiarity with real-time data analysis protocols to implement predictive calibration sequences, directly minimizing the latency between state initialization and gate execution. These capabilities are fundamental to the throughput of quantum computer developers like IQM Quantum Computers, as they decouple pure physics discovery from operational maintenance. By introducing rigorous telemetry and incident resolution methodologies, this function ensures long-term interoperability within emerging hybrid high-performance computing networks. - Minimizes operational latency by establishing automated calibration and continuous optimization workflows across diverse hardware deployments
- Mitigates system degradation risks through the deployment of advanced real-time telemetry and systemic telemetry analysis
- Accelerates the commissioning of new quantum processing units by standardizing field testing and site acceptance protocols
- Enhances data reproducibility for external research entities by maintaining stable gate fidelities and baseline coherence parameters
- Maximizes infrastructure availability across multi-tenant cloud systems and distributed high-performance computing datacenters
- Facilitates structured technical feedback loops that directly guide the iterative design of next-generation control systems
- Reduces operational friction between fundamental physics research divisions and customer-facing deployment infrastructure teams
- Optimizes the isolation of complex co-dependencies spanning microwave electronics, cryogenics, and hardware-software abstraction layers
- Supports sector-wide interoperability mandates by formalizing comprehensive system documentation and lab best practices
- Lowers the time-to-resolution for critical system incidents through organized second-tier technical support frameworks
- Secures regional delivery roadmaps by executing precise on-site debugging during cross-border system installations
- Validates the commercial viability of full-stack processing hardware by ensuring predictable, verifiable computational uptimeIndustry Tags: Quantum Systems Engineering, Superconducting Hardware Integration, Cryogenic Control Systems, Automated System Calibration, Quantum Cloud Infrastructure, Telemetry Analysis, Incident Management, Hybrid HPC Systems, Deep Tech Operations
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