Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of AI-driven quantum computing. We're seeking visionary Quantum AI Research Scientists to architect breakthrough solutions that will redefine industries by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art research facility overlooking the San Francisco Bay.
This role offers unparalleled opportunities to shape humanity's technological future, with competitive equity packages, unlimited R&D budgets, and access to cutting-edge quantum hardware. Our culture celebrates bold experimentation and intellectual curiosity.
Responsibilities
- Design and implement quantum neural network architectures for next-gen AI systems
- Lead cross-functional teams in developing error-corrected quantum computing protocols
- Publish groundbreaking research in top-tier journals and industry whitepapers
- Translate theoretical quantum algorithms into practical enterprise solutions
- Secure $10M+ in government and private research grants
- Mentor PhD candidates in quantum machine learning methodologies
- Drive open-source contributions to global quantum AI frameworks
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years hands-on experience with quantum computing frameworks (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or topological quantum computing
- Expertise in Python/C++ with deep learning libraries (PyTorch/TensorFlow)
- Proven track record of securing high-value research grants
- Familiarity with NISQ-era hardware limitations and mitigation strategies
- Strong background in information theory and quantum error correction