Job Description
Join the forefront of technological evolution at Nexus Quantum Solutions, where we're pioneering the next wave of quantum-AI integration. We seek a visionary Quantum AI Research Scientist to architect groundbreaking systems that will redefine computational boundaries by 2026. This role offers unparalleled opportunities to shape the future of machine learning through quantum-enhanced algorithms, working in our state-of-the-art research facility in San Francisco's tech corridor. You'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum neural networks and hybrid quantum-classical frameworks that solve previously impossible problems.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Lead research on quantum neural network optimization and error correction protocols
- Develop hybrid quantum-classical computing frameworks for enterprise-scale applications
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Author breakthrough research papers for top-tier publications and industry conferences
- Mentor junior researchers and establish best practices in quantum-AI integration
- Secure external funding through NSF and DARPA grants for cutting-edge projects
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Proven track record publishing in Nature/Science or equivalent top-tier journals
- Deep understanding of quantum algorithms and quantum machine learning principles
- Experience with high-performance computing and parallel processing architectures
- Strong background in AI/ML frameworks (TensorFlow, PyTorch) and classical optimization
- Ability to translate complex quantum concepts into practical enterprise solutions