Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer quantum AI systems that will redefine industries by 2026. We're seeking visionary researchers to develop breakthrough algorithms that merge quantum computing with artificial intelligence. This role offers unparalleled opportunities to shape the future of computational intelligence while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen autonomous systems
- Lead cross-functional teams in prototyping hybrid quantum-classical neural networks
- Develop error-correction frameworks for practical quantum AI deployment
- Author groundbreaking research for top-tier publications (Nature, Science, etc.)
- Collaborate with hardware engineers to optimize quantum-AI system architectures
- Secure $5M+ in federal research grants for quantum AI initiatives
- Mentor PhD candidates in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Published research in quantum machine learning or related fields
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in deep learning frameworks (PyTorch, TensorFlow) with quantum extensions
- Strong background in quantum error correction and fault tolerance
- Track record of securing competitive research grants
- Experience with high-performance computing and distributed quantum systems