Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms for quantum machine learning, collaborate with Nobel laureates, and contribute to breakthroughs in cryptography, materials science, and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit quantum processors and exascale computing clusters.
Why Nexus Quantum Labs?
• Work on projects with global impact
• $500M R&D budget for 2026 initiatives
• Equity package + unlimited PTO
• Relocation assistance for top talent
Responsibilities
- Design and implement quantum neural networks for unsupervised learning
- Develop hybrid quantum-classical algorithms for optimization problems
- Lead cross-functional teams in prototyping quantum-AI applications
- Publish research in Nature/Science journals and present at IEEE conferences
- Collaborate with hardware teams to optimize quantum error correction protocols
- Secure patents for novel quantum machine learning architectures
- Mentor PhD candidates in quantum computing programs
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow, and high-performance computing
- Deep understanding of quantum decoherence mitigation strategies
- Strong background in linear algebra and quantum information theory
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)