Job Description
Are you ready to architect the bridge between classical silicon and the quantum future?
Nexus Horizon Labs is pioneering the next generation of computational power, and we are seeking a visionary Quantum Interface Architect to lead our R&D division. In this pivotal role, you will design the software and hardware interfaces that allow classical AI systems to seamlessly communicate with quantum processors, preparing the infrastructure for the transformative era of 2026 and beyond.
We are looking for a technical leader who thrives at the intersection of physics, computer science, and advanced engineering. If you are obsessed with solving impossible problems and want to build the foundational layers of the world's most advanced computing platform, we want to hear from you.
Responsibilities
- Design and implement high-level software interfaces (APIs and SDKs) that bridge classical machine learning models with quantum processing units (QPUs).
- Develop and optimize error-correction protocols and noise mitigation strategies to ensure stable quantum computations.
- Collaborate with quantum physicists and hardware engineers to define architectural requirements for next-gen quantum chips.
- Lead the migration of legacy classical algorithms to hybrid quantum-classical workflows.
- Mentor junior engineers and researchers, fostering a culture of innovation and rigorous technical excellence.
- Stay ahead of the curve on emerging quantum computing standards, languages (Qiskit, Cirq), and hardware architectures.
- Conduct rigorous testing and validation of quantum circuits in simulated and real-world environments.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Physics, Electrical Engineering, or a related quantitative field.
- 5+ years of professional experience in software development, with a focus on high-performance computing (HPC) or systems architecture.
- Hands-on experience with quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- Deep understanding of quantum algorithms (QFT, Grover's, Shor's) and their practical implementation.
- Proficiency in Python, C++, and CUDA for parallel computing tasks.
- Strong knowledge of cryogenic systems and hardware-software integration challenges.
- Demonstrated ability to translate complex physics concepts into robust, scalable software solutions.