Job Description
Join Nexus Quantum Solutions at the frontier of 2026's technological revolution. 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 the next generation of intelligent systems that will redefine industries from healthcare to climate modeling. Our state-of-the-art facility in San Francisco offers an unparalleled environment for innovation, where your work will directly impact the future of computational intelligence.
We're seeking visionaries who thrive at the intersection of theoretical physics and machine learning. You'll collaborate with Nobel laureates and industry pioneers to develop novel quantum neural networks, optimize quantum algorithms, and create hybrid AI systems that outperform classical limitations. This isn't just a job—it's your chance to shape the technological landscape of the next decade.
Responsibilities
- Design and implement quantum neural networks for AI acceleration
- Develop hybrid quantum-classical algorithms for optimization problems
- Lead research in quantum machine learning frameworks
- Collaborate with hardware teams to co-design quantum processors
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and drive innovation workshops
- Translate theoretical models into practical AI solutions
- Secure research partnerships with leading academic institutions
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- Expertise in quantum algorithms and quantum information theory
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in machine learning and neural networks
- Published research in quantum computing or AI
- Experience with quantum hardware simulation platforms
- Excellent problem-solving and analytical thinking abilities
- Strong communication skills for technical and non-technical audiences