Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll develop cutting-edge algorithms for quantum machine learning, collaborate with Nobel laureates, and contribute to breakthroughs in cryptography, materials science, and drug discovery. Our state-of-the-art lab in San Francisco features quantum annealers, photonic processors, and exascale computing resources. Enjoy unparalleled benefits including equity grants, unlimited R&D budget, and flexible remote work options.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams in developing quantum-AI hybrid frameworks
- Publish breakthrough research in top-tier journals and conferences
- Optimize quantum circuits for error correction and scalability
- Collaborate with hardware teams to co-design quantum processors
- Develop patentable solutions for industry partners in finance, healthcare, and logistics
- Mentor junior researchers and quantum engineering interns
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and quantum neural networks
- Published research in quantum computing or quantum information theory
- Strong background in linear algebra, probability, and quantum mechanics
- Experience with high-performance computing and cloud platforms (AWS Braket, Azure Quantum)
- Proven ability to translate complex quantum concepts into practical solutions