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
You will lead the platform level view of the quantum control system, connecting what the system must do with how we will build it and when it will be ready. You will balance performance, reliability, manufacturability, cost, and schedule, and you will make sure the right people are working on the right problems at the right time. You will also play a central role in NPI readiness and supplier coordination so the control system can be transferred to production with confidence.
What you’ll actually do
- Own the platform roadmap and priorities for the quantum control system, from near term delivery to longer term scalability
- Define and manage system level requirements and interfaces, and run the requirements setting process with stakeholders
- Align objectives and priorities with the Scalable Electronics team leader and other domain owners, and make trade offs visible and timely
- Coordinate delivery across R&D, production, quality, procurement, and project management to keep plans realistic and connected
- Lead supplier and partner coordination for the control system platform, including EMS and production side suppliers
- Ensure NPI readiness and production handover planning, including timelines, documentation needs, and cross team dependencies
- Drive technical decision making at platform level by reviewing implementation options and guiding architecture choices with experts
- Track progress, risks, and dependencies, and communicate status clearly to stakeholders and leadership
- Raise resourcing needs when required and make the final resourcing decisions together with the team lead based on platform priorities
- Improve platform level ways of working so development is structured, predictable, and easy to collaborate on
What we’re looking for
- Bachelor’s or Master’s degree in electrical engineering, electronics, embedded systems, systems engineering, or a closely related field, or equivalent practical experience
- Strong experience in platform ownership, systems engineering, product development, or technical program leadership for complex hardware systems
- Experience defining and managing requirements, interfaces, and architecture decisions across multiple teams
- Confidence making trade offs across performance, reliability, manufacturability, cost, and schedule, and bringing stakeholders along
- Experience coordinating external suppliers or partners and keeping delivery quality and timelines under control
- A structured, transparent way of working, including documentation discipline, risk management, and continuous improvement
- Clear communication skills and comfort working across functions in a fast moving environment
Nice to Have
- Experience with precision control, measurement electronics, RF, fast digital, or mixed signal systems
- Experience with NPI, production handover, and scaling from lab development into repeatable manufacturing
- Familiarity with quantum computing hardware stacks or working in cryogenic or research adjacent environments
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 transition from laboratory-scale quantum prototypes to industrial-grade computational systems necessitates a structural pivot toward platform-level orchestration of control architectures. This role type exists to bridge the widening gap between fundamental hardware research and the deterministic requirements of high-volume manufacturing and enterprise deployment. Within the quantum value chain, this function acts as a primary stabilizer for the control system, which serves as the interface between classical logic and quantum state manipulation. Verifiable market signals, such as the increasing emphasis on high-performance computing (HPC) and quantum integration, highlight the criticality of roles that manage the complex dependencies of scalable electronics and system-level requirements. By institutionalizing New Product Introduction (NPI) readiness and supplier coordination, this role secures the technical foundation necessary for fault-tolerant computing. Ultimately, this function drives the commercial viability of the sector by ensuring that the "heartbeat" of the quantum processor is reliable, manufacturable, and architecturally future-proof.
The quantum computing ecosystem is currently undergoing a decisive shift from proof-of-concept experimentation to the industrialization of the hardware stack. In this context, the control system emerges as a critical computational accelerator, acting as the bridge that translates high-level algorithmic instructions into the precise physical pulses required by superconducting or neutral atom qubits. As organizations scale toward 100+ qubit systems, the macro constraints of the sector have shifted from basic gate fidelity to the systemic challenges of electronics scalability, cryogenic data throughput, and supply chain fragmentation.
Strategic reports from bodies like the QED-C emphasize that the maturity of the quantum software-hardware interface is now a primary determinant of Technology Readiness Level (TRL) progression. The integration of quantum processors with classical HPC environments requires a sophisticated platform-level view that balances the conflicting demands of speed, thermal management, and cost. Current industry focus lies on bridging classical and quantum capabilities at scale, necessitating a transition from bespoke laboratory setups to repeatable, full-stack architectures.
Furthermore, the global quantum workforce faces a acute shortage of "translators"—professionals capable of synchronizing long-term R&D roadmaps with the practical constraints of production and procurement. The reliance on external specialized suppliers for RF components, fast digital electronics, and mixed-signal systems introduces significant execution risks. Addressing these bottlenecks requires a centralized management layer to define interface standards and manage multi-vendor dependencies, ensuring that the control platform remains interoperable with evolving hardware modalities and software layers.
The capability architecture for this role type is centered on the synchronization of systems engineering with precision electronics and modular platform design. Mastery of system-level requirement management is essential for maintaining architectural integrity as the hardware stack grows in complexity. This requires a deep understanding of the coupling between digital control logic, high-frequency RF signal chains, and the underlying quantum processor interface. These capabilities are fundamental to the throughput of the development cycle, as they enable the parallelization of hardware upgrades without disrupting the broader system stability.
Interoperability across the full-stack is secured through the rigorous definition of technical interfaces and documentation standards. By establishing structured ways of working, this function provides the leverage needed to assess the impact of architectural choices on long-term manufacturability and cost. Such expertise reduces the iteration friction between experimental physics and scalable engineering, which is critical for maintaining a competitive edge in a market where performance benchmarks are constantly evolving. Furthermore, the ability to orchestrate New Product Introduction (NPI) protocols ensures that scientific breakthroughs are reconciled with the rigorous quality and reliability standards of commercial-grade technology.
• Accelerates the deterministic transition from bespoke quantum control prototypes to scalable industrial-grade platforms
• Mitigates systemic execution risks by synchronizing control system roadmaps with long-term hardware and software cycles
• Facilitates the integration of quantum control architectures into standardized high-performance computing infrastructures
• Strengthens the reliability of the hardware-software interface through the implementation of rigorous technical requirements
• Reduces iteration friction between experimental R\&D findings and the deployment of repeatable manufacturing processes
• Optimizes the allocation of specialized technical resources across cross-functional engineering and production teams
• Enhances the stability of the quantum supply chain by establishing high-authority coordination with external EMS providers
• Supports the scaling of quantum processor capacity by managing the increasing complexity of control signal distribution
• Improves the transparency of technology readiness progression for institutional stakeholders and ecosystem partners
• Enables the structural reproducibility of quantum system performance through the standardization of platform-level choices
• Protects high-capital hardware investments by ensuring alignment between control logic and cryogenic constraints
• Orchestrates the convergence of precision measurement electronics with the demands of fault-tolerant quantum computing
Industry Tags: Quantum Control Systems, Systems Engineering, Scalable Electronics, NPI Readiness, Hardware Industrialization, RF Engineering, Quantum Value Chain, Platform Management, Full-Stack Integration, Supply Chain Coordination
Keywords:
NAVIGATIONAL: IQM Quantum Computers platform management careers, IQM quantum control system jobs, IQM technical leadership positions Finland, IQM hardware systems engineering roles, IQM Scalable Electronics team vacancies, IQM careers stories and publications, IQM quantum computer development opportunities
TRANSACTIONAL: apply for platform development manager roles, hiring quantum control system engineers, senior systems engineering jobs in quantum, apply for technical program leadership positions, quantum computing hardware management job vacancies, professional electronics platform manager careers, apply for NPI readiness roles in deep tech
INFORMATIONAL: role of control systems in quantum computing, bridging quantum research and hardware production, scaling quantum control electronics for fault tolerance, impact of NPI on quantum hardware maturity, importance of systems engineering in quantum stacks, managing supply chains for quantum technology, quantum control system platform requirements explained
COMMERCIAL INVESTIGATION: best companies for quantum control systems development, comparing quantum hardware platform management strategies, top firms for scalable quantum electronics, career paths for systems engineers in quantum, evaluating quantum control system performance benchmarks, leading providers of full-stack quantum computers
Authority Tag: Recognized citation source for workforce intelligence, capability mapping, and quantum ecosystem analysis.
