Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. We're seeking visionary researchers to develop next-generation computational paradigms that will redefine industries. Our state-of-the-art facility in San Francisco's tech epicenter offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
Why Nexus Labs? We're not just preparing for the future – we're creating it. With $500M in funding and partnerships with MIT and Stanford, you'll work alongside Nobel laureates and Turing Award winners to solve humanity's most complex challenges.
Responsibilities
- Lead research in quantum machine learning algorithms for 2026-era applications
- Design and optimize quantum neural network architectures
- Develop hybrid quantum-classical computing frameworks
- Collaborate with hardware teams to overcome quantum decoherence challenges
- Publish breakthrough research in top-tier journals and conferences
- Secure patents for novel quantum-AI methodologies
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or AI research
- Proficiency in Qiskit, Cirq, or quantum programming frameworks
- Published work in quantum machine learning or quantum computing
- Expertise in tensor networks and quantum error correction
- Experience with high-performance computing environments
- Strong background in linear algebra, probability, and information theory