Job Description
Join Nexus Dynamics 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 design next-gen algorithms that redefine computational boundaries in our state-of-the-art San Francisco lab. Collaborate with Nobel laureates and industry disruptors to transform theoretical physics into practical applications.
What You'll Achieve: Architect quantum neural networks, develop error-corrected qubit systems, and publish breakthrough research in Nature Physics. Your work will directly impact drug discovery, climate modeling, and autonomous systems.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead error-correction protocols for fault-tolerant quantum processors
- Develop hybrid quantum-classical computing frameworks
- Collaborate with hardware teams to optimize qubit coherence times
- Publish peer-reviewed research in top-tier journals
- Mentor junior researchers in quantum information theory
- Secure $1M+ in NSF/DARPA grants for experimental validation
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum simulation
- Proficiency in Qiskit, Cirq, or quantum assembly languages
- Published research in quantum machine learning or quantum error correction
- Expertise in tensor networks and quantum circuit optimization
- Experience with superconducting or photonic qubit platforms
- Demonstrated ability to translate theoretical concepts into experimental prototypes