Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence. We're seeking a visionary Research Scientist to architect 2026's next-generation computational paradigms. You'll lead cross-functional teams in developing hybrid quantum-neural systems that redefine machine learning capabilities. This role offers unparalleled access to our $50M R&D lab and collaboration with Nobel laureates in quantum physics.
Responsibilities
- Design and implement quantum-AI algorithms for computational acceleration
- Lead experimental research in quantum neural networks
- Develop scalable frameworks for quantum-classical hybrid computing
- Collaborate with hardware teams to optimize quantum hardware interfaces
- Publish peer-reviewed research in top-tier journals and conferences
- Secure $1M+ in annual research grants and patents
Qualifications
- PhD in Quantum Computing, AI, or related field
- 3+ years of quantum algorithm development experience
- Expertise in Python, C++, and quantum SDKs (Qiskit, Cirq)
- Published research in quantum machine learning
- Strong background in tensor networks and quantum error correction
- Experience with high-performance computing clusters
- Proven track record of securing research funding