Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI integration. We seek visionary Quantum AI Research Scientists to develop groundbreaking solutions that will redefine computational boundaries by 2026. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate your research into quantum machine learning algorithms, neural network optimization, and practical quantum computing applications.
As a key member of our Innovation Division, you'll collaborate with Nobel laureates and industry pioneers to translate theoretical quantum principles into real-world breakthroughs. We provide competitive compensation, flexible hybrid work arrangements, and exclusive access to our $500M research fund dedicated to 2026 technological milestones.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional teams in developing hybrid quantum-classical neural network architectures
- Author peer-reviewed publications on quantum-AI convergence and publish findings in top-tier journals
- Collaborate with hardware engineers to optimize quantum algorithms for next-generation processors
- Develop predictive models for quantum error correction and fault-tolerant computing systems
- Present research findings at international conferences including IEEE Quantum Week and 2026 Tech Summit
- Secure external funding through NSF and DoE grants for advanced quantum-AI research initiatives
Qualifications
- PhD in Quantum Computing, Artificial Intelligence, or Computational Physics with 3+ years post-doctoral experience
- Published research in Nature/Science journals on quantum machine learning or quantum algorithms
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks (TensorFlow, PyTorch)
- Proven track record of developing novel quantum algorithms with demonstrated computational advantages
- Experience with quantum hardware platforms including IBM Quantum, Rigetti, or D-Wave systems
- Strong background in theoretical computer science and complexity theory
- Ability to secure $500K+ in competitive research funding