Job Description
Join NeuroSync Technologies at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that push the boundaries of computational possibility. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. Collaborate with Nobel laureates and industry disruptors in an environment where innovation isn't just encouraged—it's required.
Responsibilities
- Design and implement quantum machine learning models for pattern recognition in multi-dimensional datasets
- Develop error-correction protocols for quantum neural networks operating at 100+ qubit scales
- Optimize hybrid quantum-classical computing workflows for real-time decision systems
- Lead cross-functional teams in translating theoretical quantum algorithms into deployable solutions
- Author peer-reviewed publications on quantum-AI convergence methodologies
- Secure intellectual property through patent filings for novel quantum computing architectures
- Mentor junior researchers in quantum programming languages (Qiskit, Cirq, Q#)
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years of industry experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum error correction codes
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#) and Python-based ML stacks
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS, ICML)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Deep understanding of tensor networks and quantum simulation techniques
- Strong background in distributed computing frameworks for quantum-classical hybrid systems