Job Description
Join NeuroTech Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape the future of computational intelligence while working in our state-of-the-art San Francisco facility with cutting-edge resources and unparalleled collaborative opportunities.
About NeuroTech Labs: We're a preeminent research institute dedicated to developing quantum-optimized AI systems that will redefine industries by 2026. Our team includes Nobel laureates and Turing Award winners pushing the boundaries of what's computationally possible.
What We Offer: Competitive equity packages, unlimited research budget, flexible hybrid work, and the chance to publish in Nature/Science journals. Work directly with quantum hardware pioneers while mentoring the next generation of quantum AI researchers.
Responsibilities
- Design and implement novel quantum neural network architectures for 2026-era computational challenges
- Lead cross-disciplinary research teams in quantum machine learning optimization
- Develop error-correction protocols for quantum AI systems at scale
- Pioneer hybrid quantum-classical algorithms for real-world industrial applications
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Author peer-reviewed publications and secure NSF/NASA research grants
- Establish ethical frameworks for quantum AI deployment in regulated industries
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (post-doc preferred)
- 5+ years of research experience in quantum algorithms or deep neural networks
- Published work in top-tier journals (Nature, Science, IEEE TPAMI)
- Proficiency with Qiskit, Cirq, or equivalent quantum programming frameworks
- Expertise in tensor networks and quantum error correction methodologies
- Demonstrated ability to secure $1M+ in research funding
- Strong background in high-performance computing and parallel processing