Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026 breakthroughs. We seek a visionary research scientist to develop next-generation computational frameworks that will redefine industries. Our multidisciplinary team operates at the intersection of quantum computing, machine learning, and predictive analytics in a state-of-the-art Silicon Valley facility.
This role offers unparalleled opportunities to publish in Nature/Science journals, lead patent portfolios, and collaborate with Nobel laureates. We provide competitive equity packages, flexible work arrangements, and dedicated R&D resources.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era applications
- Lead cross-functional teams in developing hybrid quantum-classical ML pipelines
- Author peer-reviewed research on quantum-AI convergence methodologies
- Translate theoretical models into scalable production systems
- Identify emerging quantum computing paradigms for commercialization
- Secure $1M+ in research funding through NSF/NIH proposals
- Mentor postdoctoral researchers in quantum machine learning
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years of experience in quantum algorithm development
- Published research in top-tier journals (Nature/Science)
- Proficiency in Qiskit, Cirq, and quantum error correction
- Deep understanding of tensor networks and quantum machine learning
- Experience with high-performance computing clusters
- Strong background in information theory and quantum thermodynamics
- Track record of securing government research grants