Job Description
Join Nexus Quantum Labs at the forefront of technological evolution in 2026. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries in cryptography, drug discovery, and climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative freedom to push beyond theoretical limits.
This role represents the vanguard of scientific innovation, where your work directly shapes the technological landscape of tomorrow. We offer competitive equity packages, flexible research schedules, and exclusive access to industry-defining quantum hardware.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world problem domains
- Lead cross-functional R&D initiatives combining quantum circuits with neural networks
- Publish groundbreaking research in top-tier quantum computing conferences and journals
- Collaborate with hardware teams to optimize quantum-AI hybrid system performance
- Mentor junior researchers and drive innovation workshops
- Secure federal and private research grants for frontier quantum projects
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proven track record of peer-reviewed publications in quantum machine learning
- Expertise in complex algorithm design for NISQ-era quantum processors
- Strong background in deep learning and classical AI optimization techniques
- Experience with high-performance computing environments and parallel processing
- Ability to communicate advanced quantum concepts to interdisciplinary teams