Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI integration. This role offers the unique opportunity to shape the computational landscape of 2026 and beyond, working with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility. You'll develop breakthrough algorithms that redefine machine learning paradigms while contributing to humanity's most ambitious technological frontier.
We provide unparalleled resources including quantum computing access, generative AI labs, and a collaborative environment where your ideas become reality. If you're driven to solve impossible problems and leave an indelible mark on technological history, this is your calling.
Responsibilities
- Design and implement quantum machine learning models for next-gen computational frameworks
- Lead cross-functional research initiatives in quantum neural networks and generative AI
- Develop novel algorithms leveraging quantum entanglement for exponential speedups
- Collaborate with hardware teams to optimize quantum-AI hybrid systems
- Pioneer ethical frameworks for quantum AI deployment and governance
- Author breakthrough research publications in top-tier journals and conferences
- Mentor junior researchers and drive innovation in quantum-AI integration labs
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent research experience)
- 5+ years of hands-on experience with quantum programming (Qiskit, Cirq) and deep learning frameworks
- Published research in quantum machine learning or quantum information theory
- Expertise in tensor networks and quantum circuit optimization
- Strong background in high-performance computing and distributed systems
- Proven track record of translating theoretical concepts into practical implementations
- Exceptional problem-solving abilities for complex quantum-AI hybrid challenges
- Experience with ethical AI governance frameworks and responsible innovation