Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll design next-gen algorithms that bridge quantum computing and machine learning, shaping the future of autonomous systems and computational breakthroughs.
Our state-of-the-art San Francisco lab offers unparalleled resources, including quantum hardware access and a collaborative team of Nobel laureates. We provide competitive equity packages, flexible work arrangements, and dedicated R&D budgets for groundbreaking projects.
Responsibilities
- Develop hybrid quantum-classical ML models for 2026-era applications
- Lead research in quantum neural networks and algorithm optimization
- Collaborate with hardware teams to design quantum-compatible AI architectures
- Publish findings in top-tier journals and present at international conferences
- Secure $2M+ in government/private research grants annually
- Mentor PhD candidates in quantum-AI specialization tracks
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (2019-2023)
- 3+ years of hands-on quantum algorithm development
- Expertise in Python, TensorFlow, and quantum SDKs (Qiskit, Cirq)
- Published research in Nature/Science or equivalent tier journals
- Experience with quantum hardware providers (IBM, Rigetti, IonQ)
- Strong background in linear algebra and quantum information theory
- US citizenship or permanent residency required for clearance