Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical physics into practical solutions. What you'll achieve: Develop quantum neural networks, optimize error correction protocols, and collaborate with Nobel laureates on next-gen AI models. We offer competitive equity, flexible remote work, and dedicated research funding.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in developing quantum-AI hybrid computing architectures
- Optimize quantum circuit designs for real-time AI processing
- Author peer-reviewed publications on quantum-AI convergence
- Secure $5M+ in research grants through NSF and DARPA partnerships
- Mentor PhD candidates in quantum information science
- Prototype quantum solutions for climate modeling and drug discovery
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or topological quantum computing
- Expertise in tensor networks and quantum error correction
- Strong Python/C++ proficiency with high-performance computing experience
- Demonstrated ability to secure federal research grants
- Collaborative mindset with 5+ years in cross-disciplinary research teams