Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. As a 2026 Quantum AI Research Lead, you'll architect breakthrough systems that redefine computational boundaries in our state-of-the-art San Francisco facility. Collaborate with Nobel laureates and industry disruptors to develop scalable quantum neural networks, pushing the limits of machine learning and cryptography. This is your opportunity to shape the technological landscape of the next decade while working on projects with global impact.
Responsibilities
- Design and implement quantum-AI hybrid architectures for 2026-era applications
- Lead cross-functional teams in developing fault-tolerant quantum algorithms
- Drive research in quantum machine learning optimization and scalability
- Collaborate with hardware teams to bridge quantum computing and classical AI systems
- Publish groundbreaking research in top-tier journals and conferences
- Secure multi-million dollar grants for 2026 quantum innovation initiatives
- Mentor PhD researchers in quantum information science
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Published research in quantum computing or AI (minimum 3 peer-reviewed papers)
- Expertise in quantum programming languages (Qiskit, Cirq) and AI frameworks
- Proven track record of leading complex R&D projects
- Deep understanding of quantum error correction and fault tolerance
- Experience with high-performance computing environments