Job Description
Join NexusLabs Quantum Solutions at the forefront of technological evolution. We're seeking visionary Quantum AI Research Scientists to pioneer breakthroughs that will redefine 2026 and beyond. Our multidisciplinary team operates at the intersection of quantum computing, artificial intelligence, and next-generation neural networks. You'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum algorithms, optimize machine learning architectures, and solve previously unsolvable computational challenges. This role offers unparalleled resources, including access to quantum annealing hardware and petascale computing clusters. Shape the future of human-machine intelligence while working in our state-of-the-art San Francisco innovation hub.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational paradigms
- Lead research initiatives in quantum neural networks and hybrid quantum-classical architectures
- Develop scalable solutions for quantum-optimized AI training and inference pipelines
- Collaborate with hardware teams to prototype quantum-accelerated AI systems
- Publish peer-reviewed research in top-tier quantum computing and AI journals
- Present findings at international conferences including Q2B and NeurIPS
- Mentor junior researchers and drive cross-functional innovation
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 3+ years of industry experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants) and quantum error correction
- Proven track record in deep learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Strong background in quantum hardware platforms (Rigetti, IBM Q, D-Wave) or superconducting qubits
- Published research in quantum machine learning or quantum information theory
- Experience with cloud quantum computing platforms (Amazon Braket, IBM Quantum Experience)
- Ability to translate complex quantum concepts into actionable technical strategies