Program Leadership & System Execution: Own end‑to‑end execution of Quantum Systems Integration programs, translating system architecture and engineering constraints into integrated plans with clear ownership, milestones, and success criteria, and driving coordinated execution across subsystems to ensure alignment on sequencing, interfaces, and integration points. Systems Integration & Readiness: Partner closely with Systems, Hardware, Software, and Physics teams to ensure technically sound program plans, lead system‑level gate reviews to drive cross‑functional alignment, and proactively surface and resolve cross‑team risks impacting hardware, facilities, supply chain, testing, and integration readiness. Operating Cadence & Execution Rigor: Establish and run program operating rhythm, maintain dynamic schedules and risk plans aligned to PM deliverables, and ensure rigorous tracking and follow‑through on actions, decisions, and milestones across matrixed engineering teams. Technical Partnership & Communication: Serve as a technical partner to engineering leads, translating complex information into clear program narratives, producing high‑quality decision‑enabling artifacts, and delivering crisp, data‑backed execution updates in cross‑org and leadership forums. Doctorate in Physics, Engineering, or related field AND 1+ year(s) experience in industry or in a research and development environment, could include completion of a post doctoral research position OR Master's Degree in Physics, Engineering, or related field AND 4+ years experience in industry or in a research and development environment OR Bachelor's Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day to day task automation). Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through hardware development. Doctorate in Physics, Engineering, or related field AND 3+ years experience in industry or in a research and development environment, could include completion of a post doctoral research position OR Master's Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment OR Bachelor's Degree in Physics, Engineering, or related field AND 8+ years experience in industry or in a research and development environment OR equivalent experience. Proven track record driving large, cross‑disciplinary technical programs from concept through delivery. Strong systems‑level thinking, with the ability to reason about interfaces, dependencies, and integration risks across hardware and software domains. Demonstrated ability to build structured plans in ambiguous, fast‑changing technical environments. Experience in quantum systems, advanced hardware, physics‑driven R&D, or high‑performance computing environments. Experience leading programs with external stakeholders (e.g., research partners, government programs, suppliers). Familiarity with systems engineering processes, readiness reviews, and complex lab‑ or facility‑based deployments. Exceptional written and verbal communication skills, with comfort communicating at both deep technical and executive levels.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The structural maturation of fault-tolerant quantum computing necessitates a specialized tier of leadership at the intersection of semiconductor manufacturing, cryogenic electronics, and systems engineering. As the industry transitions from laboratory prototypes to industrial-scale production, the role of a Senior Engineering Planning Coordinator serves as a critical bridge between theoretical physics and high-volume systems integration. This function addresses the fundamental "wiring bottleneck" and integration challenges inherent in scaling qubits within complex dilution refrigerator environments. By orchestrating the development of integrated cryogenic control architectures, this role type ensures that the trajectory of quantum-centric infrastructure aligns with the practical requirements of enterprise-scale computational workflows. Market signals indicate that the ability to coordinate these multi-disciplinary efforts is becoming a primary determinant for organizations seeking to achieve the million-qubit regimes required for operational utility.
The quantum computing industry is currently navigating a pivotal transition from isolated laboratory proofs to the early stages of industrial utility. This shift is characterized by a structural move toward integrated hardware-software stacks where the stability and fidelity of logical qubits depend on the seamless orchestration of cryogenic control electronics, modular software layers, and advanced materials science. Within this ecosystem, systems integration functions as the primary enabler for scaling, moving beyond the "noisy intermediate-scale" era toward fault-tolerant architectures that require unprecedented levels of cross-functional synchronization.
Macro-level analysis reveals that the primary bottleneck in the quantum value chain is no longer solely qubit count, but rather the complexity of the "integration gap" between individual hardware components and end-user outcomes. As organizations move toward building universal, fault-tolerant machines, the coordination of hybrid classical-quantum stacks creates a significant execution bottleneck that cannot be solved through traditional administrative management. This necessitates a technical planning function capable of translating abstract physics constraints into rigorous engineering milestones, ensuring that hardware development cycles are harmonized with software readiness and facility-scale infrastructure deployments.
Furthermore, the emergence of international standards and sovereign technological ambitions has placed a premium on technical-commercial interface agents. These roles are structurally necessary to navigate the interplay between deep-tech innovation and global supply chain dependencies. As high-performance computing centers increasingly integrate quantum accelerators, the demand for practitioners who can manage the deterministic progression of Technology Readiness Levels (TRL) continues to outpace the available talent pool. This trend favors the development of structured execution frameworks that can mitigate systemic risks associated with complex deep-tech infrastructure projects.
The capability architecture for this role type centers on the synchronization of diverse technical domains including cryo-CMOS analog circuit design, digital control logic, and high-level software middleware. At the foundational layer, mastery of systems engineering principles—specifically those targeting the stringent power and thermal budgets of dilution refrigerators—is essential for ensuring hardware-software interoperability. This technical proficiency must be coupled with an advanced understanding of the "wiring bottleneck," where the scaling of control cabling represents a physical limit to processor expansion. These capabilities are critical for the structural throughput of quantum research, as they directly influence the transition from manual laboratory characterization to automated, production-grade calibration workflows. By standardizing the interfaces between experimental physics and scalable engineering, these experts ensure the long-term integrity of the quantum stack.
Accelerates the deterministic progression of technology readiness levels for fault-tolerant quantum integration programs
Mitigates systemic execution risks by synchronizing development cycles across hardware, software, and physics domains
Facilitates the transition from fragmented laboratory research to standardized industrial-scale quantum system architectures
Reduces iteration friction in the development of integrated cryogenic control stacks through rigorous milestone planning
Strengthens the long-term competitive positioning of the firm by securing early-mover expertise in large-scale systems coordination
Harmonizes abstract theoretical physics breakthroughs with the practical requirements of complex engineering facilities
Optimizes the lifecycle of quantum-classical hybrid systems through the implementation of rigorous systems engineering processes
Supports the scaling of quantum adoption by identifying and resolving cross-team integration bottlenecks early in the development cycle
Shortens the time-to-market for error-corrected quantum machines by ensuring infrastructure alignment with hardware roadmaps
Improves the reliability of multi-stakeholder research initiatives through the application of standardized readiness reviews
Protects capital-intensive investments in deep-tech by providing expert technical validation of integration pathways
Enables the strategic orchestration of development efforts across global networks of internal foundries and external partners
Industry Tags: Quantum Systems Integration, Fault-Tolerant Computing, Cryogenic Control Electronics, Systems Engineering, Technology Readiness Level, Deep Tech Program Management, Hardware-Software Co-design, Quantum Infrastructure Scaling
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