Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and disruptors to build the next generation of computational systems. Our culture values audacious thinking, rapid prototyping, and breakthrough innovation. If you're ready to shape the future of human-machine symbiosis, apply now.
Responsibilities
- Lead quantum algorithm development for AI applications in drug discovery and climate modeling
- Design hybrid quantum-classical neural networks for 2026-era computational tasks
- Pioneer error-correction techniques for fault-tolerant quantum machine learning
- Collaborate with hardware engineers to optimize quantum-AI system integration
- Author breakthrough research for Nature/Science publications
- Mentor cross-functional teams in quantum machine learning principles
- Secure $5M+ in government/industry grants for 2026 quantum initiatives
Qualifications
- PhD in Quantum Computing, AI, or Physics with 3+ years industry experience
- Expertise in Qiskit, Cirq, and quantum machine learning frameworks
- Published research in top-tier conferences (NeurIPS, APS March Meeting)
- Proficiency in Python, TensorFlow Quantum, and quantum circuit optimization
- Demonstrated experience with quantum annealing and superconducting qubits
- Track record of translating theoretical research into commercial applications
- Strong background in high-performance computing and distributed systems