Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Scientists to develop breakthrough systems that will redefine computing by 2026. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab, working on projects that could revolutionize cryptography, drug discovery, and climate modeling.
We offer unparalleled resources including access to quantum annealers, superconducting qubit systems, and dedicated GPU clusters. Our culture values intellectual curiosity above all else—here, ambitious ideas become reality.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Lead research initiatives in quantum error correction and fault-tolerant systems
- Collaborate with hardware teams to co-design next-generation quantum processors
- Publish breakthrough research in Nature/Science journals and present at IEEE Quantum Week
- Mentor PhD candidates in quantum information theory
- Secure $5M+ in DARPA/NSF grants for frontier research
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry R&D
- Published work in quantum machine learning or quantum algorithms
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Proficiency with TensorFlow/PyTorch and high-performance computing
- Experience with quantum hardware (IBM Q, Rigetti, D-Wave)
- Strong background in linear algebra and quantum mechanics
- Track record of translating theoretical concepts into working prototypes