Job Description
Join Nexus Quantum Technologies 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 develop groundbreaking algorithms that redefine computational boundaries in cryptography, drug discovery, and climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world innovations.
Enjoy a culture of relentless innovation, flexible work arrangements, and comprehensive benefits including equity, wellness stipends, and continuous learning opportunities. Be part of the team shaping the next decade of technological advancement.
Responsibilities
- Design and implement quantum machine learning algorithms for next-generation AI systems
- Lead cross-functional research projects combining quantum computing with neural networks
- Develop novel error-correction techniques for quantum AI applications
- Collaborate with hardware teams to optimize quantum-AI hybrid systems
- Publish breakthrough research in top-tier journals and conferences
- Secure government and private research funding for quantum AI initiatives
- Mentor junior researchers and drive technical excellence across the team
Qualifications
- PhD in Quantum Computing, AI, or related field with 3+ years of research experience
- Expertise in quantum algorithms, machine learning frameworks (PyTorch/TensorFlow), and Python
- Published record in quantum machine learning or quantum information theory
- Hands-on experience with quantum simulators (Qiskit, Cirq) and cloud quantum platforms
- Strong background in linear algebra, probability theory, and computational complexity
- Demonstrated ability to translate theoretical concepts into experimental prototypes
- Excellent communication skills with ability to articulate complex technical concepts