Job Description
Shape the future of human-machine intelligence at Nexus Labs. 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-gen algorithms that redefine computational boundaries and unlock unprecedented capabilities in fields from drug discovery to climate modeling.
Join our multidisciplinary team of Nobel-caliber researchers in a hyper-modern lab equipped with D-Wave and IBM quantum processors. You'll collaborate with MIT and Stanford-affiliated pioneers to develop fault-tolerant quantum neural networks while contributing to our open-source quantum AI framework that's already powering breakthroughs at Fortune 100 partners.
Responsibilities
- Design and implement hybrid quantum-classical machine learning architectures
- Develop novel quantum error correction protocols for AI workloads
- Lead research in quantum neural network optimization and scaling
- Create simulation frameworks for quantum AI algorithm validation
- Publish findings in Nature/Science journals and top-tier AI conferences
- Collaborate with hardware teams to co-design quantum-AI accelerators
- Advise Fortune 500 partners on quantum AI implementation strategies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and Python ML frameworks
- Published work in Nature/Science or equivalent tier journals
- Deep understanding of quantum decoherence and error mitigation techniques
- Experience with high-performance computing and GPU acceleration
- Strong background in linear algebra, probability theory, and information theory
- Track record of translating theoretical research into practical applications