Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. You'll pioneer groundbreaking algorithms at the intersection of quantum computing and artificial intelligence, solving previously unsolvable problems in cryptography, materials science, and computational biology. Our state-of-the-art facilities in San Francisco's tech corridor offer unparalleled resources for transformative research.
As a key member of our elite Future Technologies Division, you'll collaborate with Nobel laureates and industry pioneers to shape the next decade of human innovation. We offer competitive equity packages, flexible work arrangements, and dedicated time for blue-sky research that could redefine our world.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional teams in prototyping quantum AI systems using advanced hardware platforms
- Publish breakthrough research in top-tier journals and industry whitepapers
- Develop ethical frameworks for quantum AI deployment in sensitive domains
- Mentor junior researchers in quantum computing principles and AI optimization techniques
- Secure competitive funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related computational field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum algorithms or quantum machine learning
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate complex theoretical concepts into practical implementations
- Strong background in linear algebra, quantum mechanics, and statistical modeling
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)