Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Researcher, you'll architect next-gen algorithms that redefine computational boundaries in our state-of-the-art San Francisco lab. Collaborate with Nobel laureates and disrupt industries from healthcare to climate modeling.
Responsibilities
- Design quantum machine learning models for 10,000+ qubit systems
- Develop hybrid quantum-classical frameworks for real-world applications
- Lead cross-functional teams in prototyping quantum neural networks
- Publish breakthrough research in top-tier journals/conferences
- Secure $5M+ in quantum computing grants from NSF and DARPA
- Mentor junior researchers in quantum algorithm optimization
- Drive commercialization of quantum AI solutions with Fortune 500 partners
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 3+ years experience with quantum programming languages (Qiskit, Cirq)
- Published research in quantum machine learning or quantum error correction
- Expertise in high-performance computing architectures
- Strong background in tensor networks and quantum circuit optimization
- Proven track record of securing federal research grants
- Fluency in Python, C++, and quantum assembly languages