Job Description
Join Nexus Labs at the forefront of technological evolution as we architect the quantum-AI interface for 2026. We're seeking visionary pioneers to design next-gen systems that merge quantum computing with artificial intelligence. This role offers unparalleled opportunity to shape humanity's technological future while working with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab.
Our team operates at the intersection of physics, computer science, and cognitive engineering, developing solutions that will redefine computational capabilities. You'll collaborate with world-class researchers to build scalable quantum neural networks and pioneer new paradigms in machine learning.
Responsibilities
- Design and implement quantum-AI hybrid architectures for 2026-scale computational challenges
- Lead research into quantum machine learning algorithms with exponential speedup potential
- Develop error-correction frameworks for fault-tolerant quantum neural networks
- Create strategic roadmaps for quantum-AI integration across industry verticals
- Mentor interdisciplinary teams of physicists, engineers, and data scientists
- Secure patents for breakthrough quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (Master's with exceptional experience)
- 5+ years developing quantum algorithms or large-scale AI systems
- Expertise in quantum circuit design and quantum error correction
- Publication record in top-tier journals (Nature, Science, etc.)
- Proficiency with quantum frameworks (Qiskit, Cirq) and AI/ML frameworks (TensorFlow Quantum)
- Demonstrated ability to translate theoretical research into practical implementations
- Experience with high-performance computing and distributed systems