Job Description
Join Nexus Quantum Solutions at the frontier of computational innovation. We're pioneering the next generation of quantum-AI hybrid systems that will redefine industries by 2026. As a Quantum AI Research Scientist, you'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and Turing Award winners to develop breakthrough algorithms for quantum machine learning.
Our team operates at the intersection of quantum physics, artificial intelligence, and computational complexity. You'll leverage our proprietary quantum annealing hardware and neuromorphic computing platforms to solve previously intractable problems in cryptography, drug discovery, and climate modeling.
We offer comprehensive benefits including equity grants, flexible remote work options, and a $20,000 annual learning stipend for continuous skill development in emerging technologies.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing frameworks for enterprise clients
- Lead cross-functional teams in prototyping quantum neural networks
- Contribute to open-source quantum AI libraries and publish in top-tier journals
- Collaborate with hardware engineers to optimize quantum circuit designs
- Translate theoretical quantum computing concepts into scalable production systems
- Present research findings at international conferences and industry summits
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning and deep learning architectures
- Proficiency in high-performance computing and distributed systems
- Strong publication record in quantum computing or AI research
- Experience with neuromorphic computing and quantum annealing hardware
- Ability to communicate complex quantum concepts to diverse stakeholders