Job Description
Join the forefront of technological revolution at Nexus Quantum Solutions, where we're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Researcher in our 2026 Innovation Lab, you'll architect next-generation systems that redefine computational boundaries. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources and collaborative freedom to transform theoretical breakthroughs into real-world applications.
We offer competitive compensation, equity packages, flexible work arrangements, and comprehensive benefits including health insurance, retirement plans, and professional development stipends. Be part of a diverse team where your expertise directly shapes the future of quantum-AI integration.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical AI systems for enterprise clients
- Lead cross-functional research projects in quantum neural networks
- Collaborate with hardware teams to optimize quantum processor performance
- Publish groundbreaking research in top-tier scientific journals
- Secure funding through government and private research grants
- Mentor junior researchers and contribute to technical roadmap planning
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum information science or AI
- Proficiency in Python, C++, and high-performance computing
- Demonstrated ability to lead technical research initiatives
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)