Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution! We're seeking a visionary Quantum AI Research Lead to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape the future of computational science in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors. This role offers unparalleled resources to develop quantum neural networks, hybrid quantum-classical algorithms, and next-gen cryptography solutions. Experience competitive equity packages, flexible work arrangements, and exclusive access to our quantum computing cluster. Your work will directly impact industries from drug discovery to autonomous systems.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams in developing quantum-AI hybrid architectures
- Publish cutting-edge research in top-tier journals and conferences
- Secure federal grants and industry partnerships for quantum-AI initiatives
- Mentor PhD researchers and drive innovation in quantum error correction
- Collaborate with hardware teams to optimize quantum circuit performance
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 3+ years of hands-on quantum programming (Qiskit, Cirq, or similar)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
- Strong background in linear algebra, probability, and information theory
- Demonstrated ability to secure research funding ($500k+ preferred)