Job Description
Join Nexus Quantum Labs at the forefront of computational revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll develop hybrid algorithms that leverage quantum superposition and machine learning to break classical computing barriers. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications.
Compete for the opportunity to shape 2026's technological landscape. We provide competitive equity packages, flexible work arrangements, and access to industry-leading quantum hardware. Collaborate with Nobel laureates and disrupt conventional computing paradigms.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical neural networks for pattern recognition
- Conduct theoretical research on quantum error correction and fault tolerance
- Simulate quantum systems on high-performance computing clusters
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and contribute to technical roadmap planning
Qualifications
- PhD in Physics, Computer Science, or Quantum Information with 3+ years research
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Strong mathematical foundation in linear algebra and quantum mechanics
- Track record of peer-reviewed publications in quantum computing
- Experience with superconducting or photonic quantum systems
- Strong analytical problem-solving and cross-functional collaboration skills