At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing.
We are seeking a Quantum Operations Engineer with a strong background in software and firmware engineering to commission, operate, support, and improve our quantum computer located in Copenhagen, Denmark. This role bridges the gap between fundamental atomic physics and high-performance control systems. You will join our systems dedicated operations team in Denmark to lead the initial system build, commissioning, and long-term stability of our quantum computing infrastructure. We are specifically interested in candidates who can translate quantum control flows into reliable, production-ready code while managing complex scientific hardware.
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Job Responsibilities
- Build, commission, troubleshoot and improve the scientific hardware and control interfaces (both hardware and software) that are the essential backbone of the quantum computing platform.
- Optimize and support deterministic, low-latency software to ensure stable, production-grade quantum operations.
- Manage and improve orchestration layers coordinating GPUs, FPGAs, and custom electronics for high-bandwidth, synchronized quantum control operations.
- Build, commission, troubleshoot and improve the scientific hardware and control interfaces (both hardware and software) that are the essential backbone of the quantum computing platform.
- Apply knowledge of atomic physics and quantum computing to proactively identify failure modes and improve system reliability and uptime.
- This position requires participation in an after-hours on-call rotation.
- Capable of lifting and moving objects that weigh up to 25 pounds.
Experience & Education
- PhD in Physics, Chemistry, Engineering, or a related field, or equivalent industry experience.
Qualifications
- Proficiency in software development using C++, Python, or Rust, and experience with real-time systems, FPGA design (VHDL/Verilog), or NVIDIA CUDA.
- Temperamentally suited to work at a fast-growing startup: self-motivated, humble, driven, collaborative, with a high tolerance for ambiguity and uncertainty.
- Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers.
- Proven ability to troubleshoot complex hardware/software co-designs and maintain production-ready code in a high-stakes, 24/7 operational environment
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Atom Computing Denmark provides a variety of benefits, including private medical for our employees and their children, paid time off, a pension plan (with company contribution), disability and life insurance.
We offer a competitive salary commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The emergence of specialized systems operations engineering within the quantum infrastructure layer marks a critical transition from purely laboratory-bound physics experiments to stable, commercial-grade computation. As deep-tech platforms scale, the structural requirement for roles that unite low-latency firmware development, real-time control system orchestration, and fundamental atomic physics becomes a primary driver of physical system uptime. This function operates as a high-leverage stabilization point within the hardware enablement layer, translating highly dynamic experimental parameters into deterministic, production-ready operational states. Market signals from national quantum strategy initiatives and ecosystem assessments indicate that managing the complex interface between classical electronic controllers and quantum processors is the single greatest bottleneck to achieving fault tolerance. By resolving hardware-software co-design friction, this operational framework establishes the predictability required to integrate quantum processors into global high-performance computing networks.
The deep-tech hardware sector is currently shifting from proof-of-concept demonstrations to the engineering challenges of absolute scale and long-term infrastructure stability. Within this changing framework, neutral-atom architectures and alternative qubit modalities demand highly precise timing orchestration to manage systemic vulnerabilities such as macroscopic decoherence and environmental phase noise. Current industry focus lies on bridging classical and quantum capabilities at scale, requiring tight architectural coupling between heterogenous classical processing units and emerging quantum processing hardware.
Operational scaling is systematically bottlenecked by acute workforce scarcity at the exact intersection of experimental physics and real-time systems engineering. As technology roadmaps progress past low Technology Readiness Levels (TRLs), the dependency on human capital capable of managing highly custom electronic interfaces becomes a severe risk for commercial timelines. This labor friction is exacerbated by vendor fragmentation across the control software stack, where a total lack of standardization requires engineers to develop proprietary abstraction layers from the ground up.
Furthermore, integrating advanced hardware accelerators with cryogenic or vacuum-isolated physics packages introduces severe deterministic timing dependencies. The commercial evolution of the global value chain depends completely on the ability to minimize signal attenuation and maximize control interface synchronization without introducing additional thermal or electromagnetic noise. Consequently, the presence of specialized operations engineers who can maintain high-bandwidth control loops under tight operational constraints is a primary determinant of system availability in the emerging quantum-as-a-service market.
The capability architecture for this operational profile centers on the strict synchronization of real-time systems engineering with the physical constraints of advanced quantum processors. Mastery over hardware description languages and parallel computing architectures is required to manage the massive data throughput generated during synchronized system orchestration. This requires an exact understanding of the integration pathways between low-level firmware instructions and the high-level control flows defined by experimental physicists.
These specific competencies are fundamental to the operational resilience of deep-tech organizations, as they dictate the efficiency of automated system calibration and failure mitigation. By developing modular, predictable control frameworks, this function establishes the continuous validation loops necessary to reduce gate error rates and expand coherence windows. Furthermore, the capacity to cross-examine complex hardware and software co-dependencies ensures that systemic drift is corrected before it impacts active computational kernels. Such expertise significantly minimizes operational downtime, facilitating stable long-term interoperability within high-performance data environments. - Accelerates the transition from experimental quantum hardware configurations to deterministic, production-grade enterprise operations
- Mitigates hardware scaling vulnerabilities by optimizing real-time orchestration across complex electronic and physics interfaces
- Facilitates the seamless integration of quantum computing processors into distributed high-performance classical data infrastructures
- Reduces operational iteration friction through the development of highly stable and reproducible hardware calibration protocols
- Optimizes system execution efficiency by minimizing processing bottlenecks within low-latency control software layers
- Enhances the structural reliability of quantum platforms through proactive identification and mitigation of hardware failure modes
- Maximizes physical processor uptime by maintaining strict deterministic synchronization across distributed control systems
- Supports the commercial deployment of advanced computing infrastructure by stabilizing the underlying hardware control loops
- Minimizes capital investment risks by ensuring long-term architectural scalability of experimental physics platforms
- Advances sector-wide technology readiness levels by standardizing operation procedures for complex quantum hardware
- Safeguards high-performance data integrity through the implementation of rigorous real-time monitoring and diagnostic frameworks
- Orchestrates the convergence of low-level firmware logic with high-level quantum control flows for continuous executionIndustry Tags: Quantum Computing Hardware, Real-Time Control Systems, Firmware Engineering, Low-Latency Orchestration, Neutral Atom Infrastructure, Systems Co-Design, Hardware Scaling, Systems Operations Engineering
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