Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to pioneer next-generation computational paradigms that will redefine industries. This role combines quantum computing, artificial intelligence, and predictive modeling to solve humanity's most complex challenges. You'll lead a multidisciplinary team in developing breakthrough algorithms while collaborating with Fortune 500 partners to implement real-world applications.
Our state-of-the-art facility in San Francisco offers unparalleled resources including quantum processors, neuromorphic computing clusters, and dedicated R&D labs. We offer competitive compensation, comprehensive benefits, and the opportunity to shape the future of technology.
Responsibilities
- Lead quantum AI research initiatives focusing on error correction, qubit stability, and hybrid quantum-classical algorithms
- Develop predictive models using quantum machine learning for climate simulation, drug discovery, and financial forecasting
- Collaborate with hardware teams to optimize quantum processor performance for AI workloads
- Publish breakthrough research in top-tier journals and present at major international conferences
- Drive patent development for novel quantum AI methodologies and secure strategic partnerships
- Mentor a team of 8+ quantum computing specialists and AI researchers
- Translate theoretical concepts into production-ready solutions with enterprise partners
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 5+ years of industry experience
- Proven track record publishing in Nature/Science or equivalent tier journals
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and classical ML frameworks (PyTorch, TensorFlow)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to lead complex R&D projects with cross-functional teams
- Strong background in high-performance computing and distributed systems
- Published work at top-tier conferences (NeurIPS, ICML, QIP)
- Security clearance for government-funded projects preferred