Job Description
Join Nexus Labs at the forefront of technological evolution. We're pioneering quantum-AI integration systems that will redefine computing by 2026. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that bridge quantum computing with machine learning frameworks. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate breakthroughs in quantum neural networks and AI optimization.
This role requires deep expertise in quantum mechanics, machine learning architectures, and high-performance computing. You'll collaborate with Nobel laureates and industry disruptors to solve problems previously deemed unsolvable. We offer competitive equity packages, flexible work arrangements, and opportunities to publish groundbreaking research.
Responsibilities
- Design quantum-AI hybrid algorithms for computational acceleration
- Lead research initiatives in quantum machine learning frameworks
- Develop error-correction protocols for quantum neural networks
- Collaborate with hardware teams to optimize quantum processor integration
- Publish peer-reviewed research in top-tier journals/conferences
- Mentor junior researchers on quantum computing principles
- Secure external funding through NSF/NIH grants and industry partnerships
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years of quantum computing research experience
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Publication record in Nature/Science or equivalent venues
- Strong background in machine learning (PyTorch/TensorFlow mastery)
- Experience with superconducting qubit systems or topological quantum computing
- Proven ability to secure $500K+ in research funding