Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. Our interdisciplinary team is redefining computational boundaries to solve humanity's most complex challenges by 2026. This role offers unparalleled opportunity to shape the future of quantum machine learning while working in our state-of-the-art San Francisco facility.
Responsibilities
- Design and implement quantum neural network architectures for next-gen AI systems
- Develop hybrid quantum-classical algorithms for real-world optimization problems
- Lead cross-functional teams in deploying quantum solutions in production environments
- Contribute to quantum-resistant cybersecurity frameworks for 2026 infrastructure
- Collaborate with Nobel laureates and Turing Award recipients on groundbreaking research
- Publish findings in top-tier journals and present at international quantum-AI symposiums
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and high-performance computing
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, quantum mechanics, and algorithm design
- Proven ability to translate complex quantum concepts into practical applications