Job Description
Are you ready to define the future of computing in 2026 and beyond?
Nexus Horizon Labs is pioneering the Post-Silicon Era, merging the power of Quantum Mechanics with Generative AI to solve problems currently deemed impossible. We are looking for a visionary Quantum AI Architect to lead our R&D division in San Francisco.
In this role, you won't just write code; you will architect the fundamental logic that bridges classical machine learning with quantum processors. If you thrive in high-stakes environments and are obsessed with pushing the boundaries of what is possible in technology, we want to meet you.
Why Join Us?
- Impactful Work: Your algorithms will solve complex optimization problems in logistics, cryptography, and drug discovery.
- Futuristic Environment: Work with state-of-the-art IBM Quantum, Rigetti, and IonQ hardware in a modern, collaborative workspace.
- Competitive Compensation: Top-tier salary, equity packages, and comprehensive benefits.
Responsibilities
- Architect Quantum Algorithms: Design and implement novel quantum algorithms specifically tailored for AI/ML workloads, optimizing for qubit coherence and error correction.
- Hybrid System Design: Develop hybrid classical-quantum neural networks that leverage the strengths of both computing paradigms.
- Hardware Integration: Oversee the integration of AI models with proprietary quantum processing units (QPUs) and cloud-based quantum simulators.
- Research & Development: Stay at the forefront of quantum supremacy research, translating theoretical papers into production-ready code.
- Team Leadership: Mentor a team of brilliant physicists and software engineers, fostering a culture of innovation and technical excellence.
- Performance Tuning: Continuously monitor, analyze, and optimize system latency and throughput in real-time quantum environments.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing.
- Technical Expertise: Proficiency in Python, C++, and Rust with deep experience in quantum software stacks (Qiskit, Cirq, PennyLane, or PyQuil).
- AI/ML Experience: Strong background in Machine Learning, Deep Learning, and Neural Networks with a demonstrated ability to adapt these models to quantum hardware.
- Problem Solving: Demonstrated ability to tackle abstract mathematical problems and translate them into scalable software solutions.
- Communication: Exceptional verbal and written communication skills, capable of explaining complex quantum concepts to diverse stakeholders.
- Agile Mindset: Experience working in fast-paced, agile development environments.