Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026 and beyond. We're seeking visionary researchers to develop next-gen computational frameworks that will redefine industries. Our interdisciplinary team operates at the intersection of quantum mechanics, artificial intelligence, and computational biology in a state-of-the-art Silicon Valley facility.
This role offers unparalleled opportunities to publish breakthrough research, collaborate with Nobel laureates, and shape the technological landscape of the coming decade. You'll have access to our quantum computing clusters and exclusive industry partnerships with Fortune 500 leaders.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional research projects combining quantum computing with neural networks
- Develop novel error-correction techniques for quantum-AI hybrid systems
- Collaborate with product teams to commercialize research breakthroughs
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive innovation roadmap planning
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years research experience
- Published work in Nature/Science or equivalent tier journals
- Expertise in quantum circuit design and quantum machine learning frameworks
- Proficiency in Python, Qiskit, and TensorFlow Quantum
- Experience with large-scale distributed computing systems
- Demonstrated ability to translate theoretical research into practical applications
- Strong background in statistical modeling and high-dimensional data analysis