Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence 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 transform theoretical possibilities into tangible breakthroughs. If you're driven to shape the future of intelligence, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for high-dimensional data processing
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Optimize quantum circuits for error correction and scalability in real-world applications
- Publish cutting-edge research in top-tier journals and industry conferences
- Collaborate with AI specialists to integrate quantum accelerators into neural networks
- Secure federal grants and partnerships for quantum-AI research initiatives
- Mentor junior researchers in quantum programming and algorithm development
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science
- 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency in Python, TensorFlow, and high-performance computing frameworks
- Demonstrated ability to secure competitive research funding
- Strong background in linear algebra, probability theory, and complex systems