Job Description
Join the quantum revolution at Nexus Quantum Labs, where we're pioneering the next frontier of artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to architect groundbreaking solutions that will redefine computational capabilities by 2026. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop hybrid quantum-neural systems capable of solving previously unsolvable problems in climate modeling, drug discovery, and autonomous systems.
Our state-of-the-art facility in San Francisco's tech corridor offers unparalleled resources, including 128-qubit processors and dedicated exascale computing clusters. You'll lead cross-functional teams of physicists, machine learning engineers, and domain experts while publishing breakthrough research in Nature and Science. This isn't just a job—it's your chance to shape humanity's technological trajectory.
We offer equity grants, unlimited R&D budgets, and flexible work arrangements that empower true innovation. If you're ready to push beyond classical computing limits and contribute to projects that will impact billions, apply now to join our quantum pioneers.
Responsibilities
- Design and implement quantum neural networks for complex optimization problems
- Lead development of hybrid quantum-classical AI algorithms for real-world applications
- Conduct cutting-edge research in quantum machine learning and error correction
- Collaborate with hardware teams to co-design next-generation quantum processors
- Publish peer-reviewed research and present findings at top-tier conferences
- Mentor junior researchers and drive quantum literacy initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoc experience
- Expertise in quantum algorithms (Shor, Grover, VQE) and quantum error correction
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong publication record in Nature/Science or equivalent tier journals
- Demonstrated experience with large-scale quantum simulations
- Deep understanding of tensor networks and quantum machine learning