Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computing paradigms. As a Quantum AI Research Scientist, you'll develop novel algorithms for quantum machine learning architectures, collaborate with Nobel laureates in our state-of-the-art facility, and publish breakthrough research in top-tier journals. Our interdisciplinary team combines quantum physics expertise with deep neural networks to solve previously impossible computational challenges. We offer competitive equity packages, flexible work arrangements, and unparalleled R&D resources.
Responsibilities
- Design and implement quantum machine learning models for 2026-era computational challenges
- Lead cross-functional research initiatives combining quantum computing and AI systems
- Develop error-corrected quantum algorithms for real-world industrial applications
- Collaborate with hardware teams to optimize quantum-AI hybrid architectures
- Publish peer-reviewed research and present findings at international conferences
- Secure external funding through NSF and DARPA grant proposals
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 3+ years post-grad research
- Expertise in quantum algorithms, tensor networks, and variational quantum eigensolvers
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published record in top-tier quantum/AI journals (Nature, Science, etc.)
- Strong background in high-performance computing and parallel processing
- Demonstrated experience securing competitive research grants
- Fluency in Python, C++, and quantum simulation tools