Job Description
Join Nexus Future Labs at the forefront of quantum-AI convergence. We're pioneering breakthroughs in computational intelligence for 2026 and beyond. As a Quantum AI Researcher, you'll architect next-generation algorithms that leverage quantum supremacy to solve previously unsolvable problems. Our multidisciplinary team operates at the intersection of physics, machine learning, and theoretical computer science in a state-of-the-art facility overlooking the San Francisco Bay.
We offer unparalleled resources including quantum annealing hardware, exascale computing clusters, and dedicated R&D budgets. This role provides exposure to Fortune 500 partners and government agencies implementing our solutions in critical infrastructure.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Develop hybrid quantum-classical neural architectures for real-world applications
- Lead experimental validation using D-Wave and IBM quantum processors
- Collaborate with theoretical physicists to model quantum information systems
- Author white papers and patents for novel quantum AI methodologies
- Mentor junior researchers in quantum computing best practices
- Present findings at premier conferences (QIP, NeurIPS, etc.)
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Publication record in top-tier AI/quantum journals
- Expertise in quantum error correction and fault tolerance
- Strong Python/C++ programming with scientific computing libraries
- Familiarity with NISQ-era hardware constraints and workarounds
- Experience with high-performance computing environments