Job Description
Shape the future at Nexus Quantum Labs – where 2026's technological frontier begins. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As our Quantum AI Research Lead, you'll architect breakthrough systems that will redefine industries by 2026. Join a cohort of Nobel-caliber minds in our state-of-the-art San Francisco lab, equipped with D-Wave quantum processors and exascale AI clusters. Your work will directly impact climate modeling, drug discovery, and autonomous systems, with guaranteed commercialization pathways through our ecosystem of Fortune 500 partners.
We offer unparalleled resources: unlimited quantum computing access, $10M/year research budget, and equity participation in our spinoffs. This isn't just a role – it's your legacy in building the computational paradigm of tomorrow.
Responsibilities
- Lead cross-functional teams in developing quantum-entangled neural networks for 2026-era applications
- Design fault-tolerant quantum algorithms achieving 1000x speedups over classical systems
- Collaborate with MIT/Stanford researchers on hybrid quantum-AI frameworks
- Secure $5M+ in DARPA/NSF grants for quantum-AI convergence projects
- Architect the 2026 Quantum AI Certification framework for industry adoption
- Present breakthrough findings at Nature/Science and World Economic Forum summits
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, AI, or Theoretical Physics with 5+ years industry experience
- Published 10+ papers in Nature/Science/Quantum journals on quantum algorithms
- Expertise in quantum error correction and topological qubit architectures
- Proficiency in Qiskit, Cirq, and quantum machine learning frameworks
- Proven track record of securing $3M+ in government research grants
- Deep understanding of quantum supremacy thresholds and NISQ-era limitations
- Experience mentoring teams that achieved quantum advantage milestones