Job Description
Join the forefront of technological revolution as a Quantum AI Research Scientist at Nexus Quantum Labs. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's greatest challenges. In this cutting-edge role, you'll develop breakthrough quantum algorithms, train next-gen AI models on quantum hardware, and publish groundbreaking research that reshapes industries. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your work will directly impact the future of computing.
We're seeking visionaries who thrive at the bleeding edge of science. If you're passionate about pushing beyond classical computing limits and want to shape how humanity solves complex problems in healthcare, climate science, and materials engineering, this is your calling.
Responsibilities
- Design and implement novel quantum algorithms for machine learning and optimization problems
- Develop hybrid quantum-classical AI architectures using state-of-the-art quantum processors
- Lead research initiatives in quantum neural networks and quantum-enhanced data analysis
- Collaborate with quantum hardware engineers to optimize algorithm performance on quantum devices
- Publish peer-reviewed research and present findings at international conferences
- Mentor junior researchers and establish best practices for quantum AI development
- Secure research funding through government grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- Expertise in quantum algorithms, quantum information theory, and quantum machine learning
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in machine learning frameworks (PyTorch, TensorFlow) and classical AI
- Demonstrated track record of publishing in top-tier journals or conferences
- Experience with high-performance computing and parallel processing
- Excellent problem-solving skills with ability to work in multidisciplinary teams