Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems that will redefine computing. We're seeking a visionary Quantum AI Research Scientist to develop next-gen algorithms that bridge quantum computing and artificial intelligence. You'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges.
What you'll achieve: Design quantum neural networks, optimize qubit stability for AI workloads, and publish breakthrough research in top-tier journals. Your work will directly impact fields from drug discovery to climate modeling.
Responsibilities
- Develop novel quantum-AI hybrid algorithms for 2026-era computational challenges
- Design and implement error-correction protocols for quantum neural networks
- Lead cross-functional teams in building quantum-optimized machine learning pipelines
- Publish peer-reviewed research in quantum computing and AI journals
- Collaborate with hardware teams to co-design next-gen quantum processors
- Secure $5M+ in research grants and patents for quantum-AI innovations
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics with 3+ years industry experience
- Expertise in quantum machine learning algorithms and quantum circuit design
- Published research in Nature/Science or equivalent-tier journals
- Proficiency in Python, Qiskit, and TensorFlow Quantum frameworks
- Demonstrated experience with quantum annealing and superconducting qubits
- Strong background in tensor networks and quantum error correction
- Track record of translating theoretical concepts into scalable implementations
- Ability to secure federal grants (NSF, DOE, DARPA) preferred