Job Description
Shape humanity's technological future with Nexus Labs' groundbreaking 2026 Quantum AI Initiative. We're pioneering the convergence of quantum computing and artificial intelligence to solve previously unsolvable challenges in cryptography, materials science, and autonomous systems. This is your chance to join an elite team redefining computational boundaries at our state-of-the-art San Francisco R&D hub.
Our ideal candidate thrives at the intersection of theoretical physics and machine learning development. You'll collaborate with Nobel Prize-winning physicists and Google AI alumni in an environment where your ideas become reality. We offer equity, unlimited PTO, and a $50,000 annual learning stipend to fuel your continuous growth.
Responsibilities
- Design and implement quantum neural networks for real-time pattern recognition
- Develop error-correction protocols for quantum computing systems
- Create hybrid quantum-classical algorithms for 2026-era data processing
- Lead cross-functional sprints with quantum hardware and AI engineering teams
- Publish breakthrough research in Nature/Science journals
- Secure patents for novel quantum machine learning methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Publication record in top-tier quantum computing journals
- Expertise in tensor networks and quantum circuit optimization
- Proficiency in Python, TensorFlow, and PyTorch
- Deep understanding of quantum decoherence mitigation techniques
- Experience with superconducting quantum processors