Job Description
Join NexusLabs at the forefront of technological revolution as we pioneer quantum-AI fusion systems. Our multidisciplinary team is developing next-generation computing architectures that will redefine industries by 2026. This role offers unparalleled opportunity to shape humanity's technological future while working in our state-of-the-art San Francisco innovation hub.
We offer competitive benefits, flexible work arrangements, and dedicated research funding. Selected candidates will collaborate with Nobel laureates and participate in groundbreaking patent development.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for computational optimization
- Lead cross-functional R&D teams in developing prototype systems
- Publish peer-reviewed research in top-tier scientific journals
- Secure and manage research grants from federal and private institutions
- Translate theoretical models into scalable engineering solutions
- Mentor junior researchers and PhD candidates
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics
- 3+ years of industry R&D experience with quantum systems
- Published research in Nature/Science or equivalent journals
- Proficiency in Python, Qiskit, and TensorFlow Quantum
- Demonstrated ability to secure research funding ($1M+)
- Expertise in quantum error correction protocols
- Strong background in neural network optimization