Job Description
Join the forefront of technological revolution at Nexus Quantum Labs, where we're pioneering the next generation of quantum-AI hybrid systems. As a Quantum AI Research Scientist, you'll design and implement cutting-edge algorithms that leverage quantum computing to solve previously unsolvable problems in machine learning, cryptography, and computational modeling. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources to accelerate your breakthroughs. We're seeking visionaries who thrive at the intersection of quantum physics and artificial intelligence to shape the future of computing.
Responsibilities
- Develop novel quantum algorithms for AI optimization and neural network acceleration
- Design hybrid quantum-classical machine learning frameworks for enterprise applications
- Lead research initiatives in quantum-resistant cryptography and secure AI systems
- Collaborate with cross-functional teams to translate theoretical models into scalable prototypes
- Publish findings in top-tier journals and present at international conferences
- Secure research funding through NSF and DARPA grant proposals
- Mentor junior researchers and foster a culture of innovation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in machine learning architectures and quantum machine learning algorithms
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Proven track record of peer-reviewed publications in quantum/AI research
- Experience with high-performance computing environments and GPU acceleration
- Demonstrated ability to secure competitive research grants