Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering breakthroughs at the intersection of quantum computing and artificial intelligence to shape the world of 2026 and beyond. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation algorithms that redefine computational boundaries.
Our state-of-the-art facility in San Francisco offers an unparalleled environment for innovation, with resources including quantum annealers, superconducting qubit processors, and dedicated AI research clusters. We provide competitive compensation, equity packages, and flexible work arrangements to attract the brightest minds in the field.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Lead research initiatives in quantum neural networks and quantum-enhanced deep learning
- Collaborate with hardware engineers to prototype quantum circuits and error-correction protocols
- Publish breakthrough research in top-tier journals and conferences
- Secure external funding through NSF and DARPA grant applications
- Mentor junior researchers and drive cross-functional innovation workshops
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Publication record in quantum computing or AI research
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and quantum mechanics