Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We seek a pioneering Quantum AI Research Scientist to develop next-generation computational models that bridge quantum mechanics and artificial intelligence. In this high-impact role, you'll collaborate with Nobel laureates and industry disruptors to solve previously unsolvable challenges in cryptography, materials science, and climate modeling. Our state-of-the-art lab features 1000-qubit processors and neural-quantum hybrid systems, offering unparalleled resources for groundbreaking research.
We offer competitive equity, unlimited PTO, and a $20K annual innovation stipend. Our culture celebrates intellectual curiosity with weekly hackathons, sponsored PhD programs, and cross-disciplinary sabbaticals. Located in San Francisco's vibrant tech hub, we're 5 minutes from BART and provide daily gourmet meals and on-site childcare.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world optimization problems
- Lead cross-functional teams in developing hybrid quantum-classical AI frameworks
- Publish breakthrough research in top-tier journals and present at international conferences
- Collaborate with hardware teams to co-design quantum processors and error-correction protocols
- Secure $1M+ in annual research funding through grant proposals and industry partnerships
- Mentor junior researchers and PhD candidates in quantum computing methodologies
- Develop proprietary IP with potential for commercialization through our venture arm
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, QAOA) and quantum circuit design
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python frameworks
- Published research in Nature/Science journals or equivalent high-impact publications
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ) or simulators
- Strong background in machine learning, linear algebra, and computational complexity
- Demonstrated ability to lead multi-million dollar research projects with measurable outcomes
- Patent portfolio or significant open-source contributions in quantum computing