Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll develop cutting-edge algorithms that leverage quantum mechanics to accelerate machine learning breakthroughs. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications across healthcare, climate modeling, and materials science.
We foster a culture of radical innovation where your work will directly shape the future of computational science. Collaborate with Nobel laureates and industry disruptors in an environment that values intellectual curiosity and bold thinking.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural networks for real-world applications
- Lead research initiatives in quantum cryptography and secure AI systems
- Optimize quantum circuits for NISQ-era hardware limitations
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and contribute to open-source quantum AI frameworks
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Qiskit, Cirq, PennyLane)
- Strong background in advanced mathematics (linear algebra, probability, information theory)
- Published research in quantum machine learning or quantum information science
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate complex theoretical concepts into practical implementations