At Qblox, we are accelerating the worldwide race toward scalable quantum computers. We provide the world’s most advanced quantum control stacks, used by laboratories and startups to push the boundaries of physics. Our hardware and software sit right next to the quantum chips, giving experimentalists precise control and readout of their qubits.
As an Embedded Engineer, you are the architect of the middle-level software layer. You bridge the gap between low-level FPGA functionality and high-level UI libraries, ensuring that our Linux-based systems operate with the stability and performance required to control thousands of qubits with nanosecond accuracy.
The Role
This is a position where engineering meets cutting-edge physics. You won’t just be writing code; you will be establishing the architectural standards for our embedded ecosystem.
In this role, you will:
- Bridge the Gap: Translate high-level business goals into robust technical implementations without compromising on code quality.
- Architect for Scale: Create and implement maintainable software architectures using expert-level design patterns.
- Lead by Example: Write clean, maintainable C++20 code and coach other developers to maintain that same high bar.
- Own the Stack: Drive development across the full Software Development Life Cycle (SDLC) within an Agile environment.
Enough about us, what about you?
In order to really enjoy this role, we imagine you have a background encompassing the following:
- Embedded Mastery: You have a deep background in Embedded Software development and a strong command of the Linux kernel.
- Modern C++: You are an expert in modern C++ (we are currently utilizing C++20).
- Hardware Fluency: You understand Linux kernel driver development and have at least a basic knowledge of Python.
- Architectural Vision: You have practical experience implementing complex design patterns and thrive when building from the ground up.
- The "Nice to Have": If you have solid knowledge of the Yocto project, you’ll be able to hit the ground running.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The structural necessity for Embedded Developers in the quantum computing sector stems from the requirement to bridge the critical "translation gap" between high-level algorithmic intent and low-level pulse modulation. Within the quantum control stack, these roles serve as the primary stabilization point for the middleware layer, ensuring that classical hardware can orchestrate qubit operations with the nanosecond precision required for error suppression. As the ecosystem transitions from laboratory prototypes to scalable, multi-rack systems, the demand for sophisticated embedded architectures has intensified to mitigate the systemic risks of latency and signal decoherence. By establishing deterministic communication protocols between FPGA logic and user-facing software, this role secures the architectural foundation necessary for achieving fault-tolerant quantum advantage. Workforce signals from the Quantum Economic Development Consortium emphasize that expertise in high-performance embedded systems is a high-leverage asset for reducing the operational complexity of large-scale quantum processors.
The quantum hardware value chain is currently navigating a decisive shift from proof-of-concept experimentation to the industrialization of control electronics. While the race for physical qubit scaling remains highly visible, a primary bottleneck for the sector has emerged at the integration layer, where classical control systems must manage increasingly dense interconnects without compromising gate fidelity. This role type occupies a pivotal position within the systems engineering segment, responsible for the interoperability between heterogeneous compute environments and the cryogenic hardware interface. Current industry dynamics, influenced by public-private investment cycles and national technology mandates, place a premium on the ability to standardize software-hardware abstractions to prevent vendor lock-in and facilitate research-to-production pathways.
Market analysis reveals that the scalability of Noisy Intermediate-Scale Quantum (NISQ) systems is fundamentally dependent on the robustness of the embedded software stack. As organizations move toward hundred-plus qubit counts, the focus has shifted to the management of massive data throughput and real-time feedback loops essential for quantum error correction. The ecosystem requires specialized engineers who can navigate the fragmentation of hardware modalities—from superconducting circuits to trapped ions—while maintaining a unified architectural standard for control. This structural layer is the primary mechanism for maintaining technical momentum as the industry addresses the infrastructure dependencies of high-performance quantum-classical hybrid workflows.
Workforce scarcity is particularly acute at the intersection of Linux kernel-level optimization and real-time deterministic execution. The capability architecture for this role centers on the synchronization of modern systems programming with the specific constraints of quantum signal processing. Mastery of low-level driver development and modular design patterns is essential for ensuring that control stacks are optimized for the high-bandwidth requirements of modern quantum compilers. Such expertise enables the parallelization of hardware development cycles, providing the leverage needed to assess system stability before large-scale capital allocation. By implementing rigorous verification frameworks within the embedded layer, this function reduces iteration friction between fundamental physics research and the delivery of reliable quantum-as-a-service (QaaS) platforms. - Accelerates the deterministic transition from experimental laboratory setups to standardized industrial quantum control architectures
- Mitigates systemic execution risks by establishing robust abstraction layers between classical software and quantum hardware
- Facilitates the integration of high-bandwidth control stacks into existing high-performance computing and cloud infrastructures
- Strengthens the reliability of quantum gate operations through the implementation of nanosecond-precise embedded execution protocols
- Reduces iteration friction between hardware engineering teams and algorithmic researchers via stable middleware interfaces
- Optimizes the throughput of quantum research initiatives by providing predictable and scalable hardware control environments
- Enhances the stability of the quantum supply chain by supporting the development of modular and interoperable control electronics
- Supports the scaling of logical qubit blocks through the management of complex real-time feedback and error correction loops
- Improves the transparency of technology readiness level progression for stakeholders in the investment and policy sectors
- Enables the structural reproducibility of quantum experiments through the standardization of embedded architectural implementation
- Protects high-capital hardware investments by ensuring alignment between firmware stability and commercial scalability requirements
- Orchestrates the convergence of low-level FPGA functionality with high-level software libraries to drive ecosystem-wide adoptionIndustry Tags: Quantum Control Systems, Embedded Systems Architecture, Real-Time Linux, FPGA Integration, Quantum Hardware Scaling, Software-Hardware Abstraction, Deep Tech Infrastructure, Systems Engineering, C++20 Standards
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