Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Researcher, you'll develop next-gen algorithms for quantum machine learning, collaborate with Nobel laureates, and publish groundbreaking research in Nature Physics. Our state-of-the-art lab in San Francisco offers unparalleled resources including quantum annealers and neuromorphic computing clusters. We provide competitive equity packages, flexible work arrangements, and dedicated R&D budgets for your breakthrough projects. This role directly contributes to our mission: solving humanity's most complex challenges through quantum-AI synergy.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Lead cross-functional research teams in quantum-AI hybrid system development
- Develop novel error correction protocols for quantum neural networks
- Collaborate with hardware teams to optimize quantum-AI interface protocols
- Publish peer-reviewed research and present findings at international conferences
- Secure federal and private research grants for quantum-AI initiatives
- Mentor PhD researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 3+ years postdoctoral research
- Expertise in quantum circuit design and Qiskit/PennyLane frameworks
- Published work in top-tier journals (Nature/Science/IEEE) on quantum-AI
- Proficiency in Python/C++ with experience in quantum simulation libraries
- Demonstrated experience with quantum annealing platforms (D-Wave/Rigetti)
- Strong background in tensor networks and quantum information theory
- Ability to secure research funding through grant writing