We are seeking a motivated and experienced Senior Backend Software Engineer to drive progress on the company’s UI and support the emerging field of quantum computing. The ideal candidate will bring significant expertise to a fast-growing team, having a deep technical knowledge of programming languages, frontend software development and understand backend considerations.
Good communication skills, motivation and the ability to work within a diverse team dispersed across multiple time-zones are a must. You will work closely with the Science, Product and Design teams to influence the software architecture for our development tools, and help drive progress towards the company’s vision of being the leading software developer tool for quantum programming.
Responsibilities
- Design, develop, and maintain scalable web applications using modern technologies
- Write clean, efficient, and well-documented code for both front-end and back-end systems
- Work with other software engineers, scientists, designers, and product managers to implement, integrate, test, deploy, and maintain our products
- Maintain Horizon’s professional software development practices
- Work effectively with employees across different domains to design and implement Horizon’s products
- Innovate and solve technical problems in support of Horizon’s product development, and implement these solutions in code for integration with Horizon’s products and services
- Proactively implement the software roadmap
- Provide timely, accurate and well-researched advice to the Director of Engineering
- Implement software development best practices, identify technical gaps that need to be addressed, and recommend solutions to improve them
- Mentor junior engineers 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
- Contribute to 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 relevant technical and software development advances
Essential Requirements
- Bachelor’s degree in software engineering, electronics engineering or related technology area
- At least 5 years relevant frontend software engineering experience in a high performing team
- Strong knowledge of modern software architecture, API and CLI
- Strong, demonstrable knowledge or skills in the following:
- Front-end: HTML5, CSS3, JavaScript, React/Angular/Vue.js
- Back-end: Node.js, Python, Elixir, Java, or similar
- Database systems: MySQL, PostgreSQL, MongoDB
- RESTful APIs and web services
- Knowledge of code versioning tools (Git, SVN), agile methodology, and industry standard development tools
- Experience with deploying web technologies via cloud services
- Strong communication skills and ability to work well in a team
- Excellent problem solving, coding, testing, and debugging skills
- Strong track record of shipping products, features and functionality on time, at extremely high quality
- Ability to quickly learn and ramp up on new technologies
- Passion for learning and driven to succeed
- Ready for a challenge
Desirable Requirements
- Masters Degree in Software Engineering or a related field
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 process information more efficiently. We are an international team headquartered in Singapore, with key markets spread out worldwide, and a growing office in Dublin, Ireland.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The maturation of the quantum computing software stack requires a transition from experimental scripts to industrial-grade backend architectures capable of supporting hybrid classical-quantum workflows. This role type is structurally necessary to resolve the current "integration bottleneck," where abstract quantum algorithms must be interfaced with scalable, high-performance classical infrastructure. By engineering the foundational systems that manage hardware abstraction and resource orchestration, these specialists enable the translation of theoretical breakthroughs into verifiable business utility. Market signals, including the rise of quantum-classical cloud platforms and increased investment in software development kits, underscore the critical scarcity of engineers who can bridge the gap between low-level physics and scalable distributed systems. This function serves as the primary driver for technological throughput, ensuring that the quantum ecosystem moves beyond laboratory prototypes toward reliable, multi-user production environments.
The quantum ecosystem is currently navigating a pivot from hardware-centric research toward full-stack system integration, positioning software engineering as a primary determinant of commercial readiness. As quantum processing units (QPUs) increase in qubit count and gate fidelity, the supporting classical backend must evolve to handle significantly higher data volumes and more complex execution logic. Current macro-level analysis indicates that the lack of standardized software toolchains and the fragmentation of hardware modalities present significant risks to universal adoption. Role types focused on backend architecture address these constraints by establishing modular, interoperable layers that reduce vendor lock-in and facilitate the seamless offloading of computational kernels to various quantum backends.
Ongoing ecosystem initiatives aim to accelerate readiness for practical quantum applications by focusing on the "middleware" layer of the value chain. This involves the development of compilers, simulators, and orchestrators that can operate within existing high-performance computing (HPC) frameworks. The structural complexity of maintaining coherence across these hybrid systems necessitates a shift from monolithic designs to microservices-based architectures that prioritize stability and low-latency communication. Consequently, the industry is seeing a consolidation of software standards, such as the adoption of Quantum Intermediate Representation (QIR), to ensure that backend systems remain future-proof as hardware architectures mature.
Macro-level workforce data suggests that while the quantum physics talent pool is expanding, there remains a critical deficit of senior-tier software engineers who possess the systems-level expertise required to build high-availability infrastructure. Organizations are increasingly prioritizing the development of robust API layers and secure multi-tenant environments to support enterprise-grade pilot projects. These efforts are essential for moving the technology readiness level (TRL) of quantum platforms from early-stage empirical testing to standardized industrial applications, particularly in sectors requiring high-fidelity simulation and optimization.
The technical architecture for this role type centers on the integration of high-concurrency backend frameworks with specialized quantum hardware interfaces. Mastery of distributed system design is essential for managing the asynchronous nature of quantum job execution and the high-throughput requirements of classical pre- and post-processing. This capability domain encompasses the development of robust serialization protocols and the optimization of service-to-service communication layers to ensure low-latency data transfer between classical hosts and quantum controllers. By establishing these high-efficiency pipelines, backend engineers provide the structural leverage needed to scale quantum-enhanced workflows across cloud-native environments.
Furthermore, the capability to build and maintain sophisticated compiler stacks and hardware abstraction layers is vital for cross-functional coupling between algorithm research and physical system execution. These interface points allow for the translation of high-level quantum programs into machine-level instructions while abstracting away the underlying hardware noise and error-prone characteristics. Such structural enablement ensures interoperability across diverse QPU modalities, allowing the broader ecosystem to maintain high development velocity despite the current volatility in hardware development roadmaps.
Accelerates the deterministic progression of technology readiness levels for cloud-native quantum computing platforms
Mitigates systemic risks associated with platform fragmentation by establishing standardized hardware abstraction layers
Facilitates the seamless integration of quantum processing units into global high-performance computing infrastructures
Reduces iteration friction for algorithm researchers by providing high-availability execution environments and SDKs
Strengthens the long-term competitive positioning of the software stack through modular and scalable architecture design
Harmonizes abstract quantum protocols with the practical requirements of enterprise-grade distributed systems
Optimizes the lifecycle of hybrid classical-quantum applications through the development of interoperable backend toolchains
Supports the scaling of quantum adoption by enabling multi-tenant access to limited hardware resources
Shortens the time-to-market for quantum-ready solutions by ensuring backend alignment with hardware scaling roadmaps
Improves the reliability of quantum cloud services through the application of rigorous software engineering best practices
Protects capital-intensive investments in quantum research by securing a robust path to production-level deployment
Enables the strategic orchestration of complex computational tasks across heterogeneous classical and quantum hardware networks
Industry Tags: Quantum Software Stack, Backend Architecture, Hybrid Computing, Hardware Abstraction, Distributed Systems, High Performance Computing, System Integration, Quantum Cloud Services, Middleware Development
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