Job Description
Join Nexus Quantum Systems at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. Our multidisciplinary team is developing revolutionary algorithms to solve humanity's most complex challenges by 2026. This role offers unparalleled opportunities to shape the future of computing while working in our state-of-the-art San Francisco lab.
Responsibilities
- Design and implement quantum machine learning models for 2026-era applications
- Lead cross-functional teams in prototyping next-gen quantum neural networks
- Collaborate with hardware engineers to optimize quantum-AI hybrid systems
- Develop ethical frameworks for advanced autonomous decision-making systems
- Publish breakthrough research in top-tier quantum computing journals
- Mentor junior researchers in emerging quantum algorithm development
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- 5+ years in quantum algorithm development or machine learning research
- Expertise in quantum circuit design and error correction techniques
- Proficiency with Python, Qiskit, and TensorFlow Quantum
- Publication record in quantum machine learning or related domains
- Demonstrated experience with large-scale distributed computing systems
- Strong background in theoretical physics and computational complexity