Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to develop next-generation computational frameworks that will redefine industries. In this role, you'll collaborate with Nobel laureates and industry disruptors to harness quantum computing and artificial intelligence for real-world applications in healthcare, logistics, and sustainable energy.
Our state-of-the-art facility in San Francisco offers unparalleled resources including quantum processors, neural network accelerators, and a collaborative environment designed to push boundaries. We offer competitive equity packages, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Lead cross-functional teams to develop AI-powered predictive models for 2026 market scenarios
- Conduct experimental research on quantum-classical hybrid computing architectures
- Collaborate with hardware engineers to optimize quantum error correction protocols
- Publish peer-reviewed research and present findings at international conferences
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 3+ years industry experience
- Proficiency in quantum programming languages (Q#, Quil, or Cirq)
- Published research in quantum algorithms or AI optimization
- Experience with high-performance computing frameworks (TensorFlow, PyTorch)
- Demonstrated ability to translate theoretical concepts into practical applications
- Strong background in linear algebra, probability theory, and computational complexity
- Track record of innovative problem-solving in emerging technologies