Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-generation algorithms leveraging quantum entanglement and neural networks to solve previously impossible problems in cryptography, drug discovery, and climate modeling. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research.
We provide competitive compensation, equity packages, and unlimited access to our quantum computing clusters. Your work will directly impact humanity's most critical challenges while shaping the future of technology.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Collaborate with cross-functional teams to integrate quantum solutions with classical AI systems
- Lead research on quantum error correction and fault-tolerant computing architectures
- Publish findings in top-tier journals and present at international conferences
- Develop proprietary quantum software frameworks using Python and Q#
- Mentor junior researchers and drive innovation in quantum-AI hybrid systems
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and algorithm development
- Published research in quantum information science or quantum machine learning
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Ability to translate complex technical concepts for diverse stakeholders