Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution as a Quantum AI Research Engineer. We're pioneering the convergence of quantum computing and artificial intelligence to solve previously unsolvable challenges. In this role, you'll architect next-generation quantum neural networks and develop hybrid quantum-classical algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources, including access to quantum annealers and 128-qubit processors. We're seeking visionaries who thrive at the intersection of physics, machine learning, and computer science to build the computational infrastructure of tomorrow.
Responsibilities
- Design and implement quantum machine learning models for optimization problems
- Develop hybrid quantum-classical algorithms for real-world applications
- Collaborate with quantum hardware teams to co-design error-corrected systems
- Lead research initiatives in quantum neural networks and quantum-inspired AI
- Translate theoretical quantum computing concepts into scalable implementations
- Author whitepapers and patents for breakthrough quantum-AI methodologies
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum algorithms (QAOA, VQE, Grover's)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS)
- Experience with quantum hardware interfaces (IBM Quantum, Rigetti)
- Demonstrated ability to translate complex theories into practical solutions