We are seeking a senior scientist to help us build software development tools to support the emerging field of quantum computing. You will work closely with our product, engineering and design teams to develop the enabling technology behind our products and to ensure the successful implementation of product features and specifications. You should have a strong understanding of the physical processes behind quantum hardware, some exposure to modeling quantum circuits in the real world as well as a good understanding of the low-level control of quantum hardware. You should have good communication skills and a passion for pushing at the boundaries of technology.
The successful candidate will join a fast-growing team that will influence the software architecture for Horizon Quantum Computing and will lay the foundation to support future products.
Responsibilities
- Work with other employees to design and implement Horizon’s products
- Solve scientific and technical problems in support of Horizon’s product development and implement these solutions in computer code for integration with Horizon’s products and services
- Work on developing quantum control in Horizon’s products framework
- Mentor junior scientists on the team to enable their progress within the company and improve on technical skills
- Maintain proper documentation of your work and present results both internally and externally
- Write reports, research papers and technical documentation as maybe required by the company
- Work with other employees and external partners to develop and protect novel intellectual property relating to quantum hardware and software innovations
- Keep up to date with the latest scientific and technical advances
Requirements
- A PhD degree in Computer Science, Physics, a related engineering field, or an equivalent experience
- 2 years or more of post-doctoral work or equivalent R&D experience at a comparable level
- Experience in quantum hardware and modeling realistic quantum circuits
- Programming experience with pulse-level languages
- Working knowledge of quantum computing
- Programming experience with C, C++ and Python and preferably also with Matlab
- Experience of professional software development and software development processes
- Strong troubleshooting and debugging skills
- Highly motivated with a passion for learning and driving technical progress
- Excellent collaboration, communication and documentation skills
About The Company
At Horizon Quantum Computing, we are developing tools to simplify and expedite the process of developing software for quantum computers, a fundamentally new form of computer that exploits effects from quantum physics to more efficiently process information. We are an international team headquartered in Singapore, with key markets spread out worldwide.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The convergence of quantum control engineering and low-level software toolchains represents a critical structural necessity within the emerging deep-tech landscape. As the sector moves toward early fault-tolerant systems, translating high-level algorithmic frameworks into robust physical executions requires deep expertise in pulse-level dynamics and hardware modeling. This specialized function operates directly at the interface of software and physical processors, serving as a vital translation layer that addresses hardware-specific noise and environmental coherence limits. Market signals from international quantum strategies indicate that standardizing these lower-level interfaces is paramount to overcoming current scalability bottlenecks. By converting abstract logic into reliable hardware control protocols, this role type significantly accelerates the maturity of software development toolchains across the broader value chain. Ultimately, this foundational enablement establishes the predictable infrastructure required to deploy practical, hardware-agnostic quantum applications at scale.
Current industry focus lies on bridging classical and quantum capabilities at scale. Within the broader quantum computing value chain, the software enablement layer is undergoing a decisive shift from laboratory proof-of-concepts toward production-ready toolchains. The primary technical bottleneck for industrial adoption resides not just in physical qubit counts, but in the fidelity of low-level compilation and pulse-level translation. Without reliable methodologies to model realistic physical noise and optimize control architectures, the potential advantage of underlying hardware remains constrained by operational errors.
Furthermore, vendor fragmentation across diverse hardware modalities creates a critical challenge for uniform software execution. The ecosystem currently requires specialized translation pathways to ensure that software development tools can interface seamlessly with distinct physical backends. Ongoing ecosystem initiatives aim to accelerate readiness for practical quantum applications by establishing standardized middleware that abstracts hardware complexities. This structural stabilization reduces vendor lock-in and fosters a more resilient supply chain within the quantum software market.
Workforce and infrastructure development remain priority areas across the value chain, particularly at the intersection of quantum information science and systems engineering. The scarcity of personnel capable of bridging high-level computer science with experimental physics represents a systemic barrier to scaling developmental tooling. By embedding precise physical insight directly into compiler architectures, the sector can successfully lower the barrier to entry for end-user developers, driving broader institutional adoption and stabilizing long-term capital allocation in deep tech.
The capability architecture for this role type centers on the dense synchronization of quantum information theory with practical systems engineering protocols. Mastery of low-level control frameworks and pulse-level programming languages is essential for managing the delicate interaction between abstract logic gates and physical qubit modalities. This requires advanced proficiency in modeling realistic quantum circuits, where scientists simulate environmental decoherence, crosstalk, and control pulse distortions to optimize gate fidelities.
These technical capabilities are fundamental to the throughput of software toolchain developers, as they enable the creation of highly precise automated compilation layers. By integrating physical hardware constraints directly into high-level software architectures, this domain expertise facilitates robust cross-functional coupling between abstract compiler design and hardware execution teams. Furthermore, deep familiarity with scientific computing languages ensures the deterministic validation of hardware control pathways before physical deployment. Such specialized knowledge reduces structural friction at the lowest levels of the quantum software stack, ultimately ensuring that emergent developmental platforms maintain long-term interoperability and scalability across a fragmented hardware ecosystem. - Accelerates the transition from abstract algorithmic concepts to stable, deployment-ready enterprise quantum software architectures
- Minimizes integration friction between high-level development environments and emerging low-level physical control frameworks
- Enhances the structural fidelity of quantum compilers by incorporating accurate real-world noise modeling protocols
- Promotes hardware-agnostic interoperability across multiple qubit modalities through standardized abstraction layers
- Optimizes the utilization of specialized technical talent by bridging the gap between hardware engineering and software design
- Reduces iteration cycles in the development of automated compilation toolchains for complex multi-qubit systems
- Strengthens the predictability of technological roadmaps by establishing rigorous benchmarking for low-level control systems
- Cultivates the growth of the global quantum talent pipeline through professional mentorship and collaborative research pathways
- Safeguards intellectual property assets by formalizing novel innovations at the intersection of hardware and software
- Facilitates widespread industrial adoption by lowering the technical barriers to entry for classical software developers
- Drives the progression of technology readiness levels across the cloud-based quantum-as-a-service market sector
- Secures long-term capital investments in deep-tech infrastructure by validating the commercial viability of toolchain productsIndustry Tags: Quantum Control, Software Development Tools, Hardware Abstraction, Pulse-Level Programming, Quantum Circuit Modeling, Systems Engineering, Deep Tech Infrastructure, Low-Level Control, Algorithmic Fidelity, Quantum Computing Architecture
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