Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence for transformative applications by 2026. We're seeking a visionary Quantum AI Research Scientist to architect next-generation solutions that will redefine industries and solve humanity's most complex challenges. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms in quantum machine learning, cryptography, and computational biology. Our state-of-the-art facility in San Francisco offers unparalleled resources, including quantum annealing hardware and dedicated AI supercomputers. We offer comprehensive benefits including equity grants, flexible work arrangements, and funding for professional development at premier global tech conferences.
Responsibilities
- Design and implement novel quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical neural networks for 2026-era applications
- Create quantum-resistant cryptographic protocols for next-gen security systems
- Lead cross-functional teams to prototype quantum AI solutions in healthcare and materials science
- Publish groundbreaking research in top-tier journals and present at international conferences
- Secure $5M+ in research grants through compelling proposals aligned with 2026 technology roadmaps
- Mentor junior researchers and establish industry partnerships for quantum AI adoption
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 3+ years industry experience
- Published research in quantum machine learning or quantum algorithms
- Proficiency with quantum programming frameworks (Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
- Expertise in quantum error correction and fault-tolerant computing architectures
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience securing federal or corporate research grants in quantum technologies
- Strong track record of collaborating across physics, computer science, and engineering disciplines