Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As our Quantum AI Research Lead, you'll architect groundbreaking solutions at our state-of-the-art San Francisco lab. Collaborate with Nobel laureates and disrupt industries from healthcare to climate modeling with your expertise in quantum machine learning. We offer unparalleled resources, flexible hybrid work, and equity in a company valued at $2B+. Shape the future – today.
Responsibilities
- Design and implement quantum-AI hybrid architectures for next-gen computational systems
- Lead cross-functional teams of physicists, ML engineers, and domain specialists
- Develop proprietary quantum algorithms with 100+ qubit stability
- Secure $5M+ in research grants through NSF and DARPA partnerships
- Publish breakthrough research in Nature/Science journals
- Mentor PhD researchers and drive innovation sprints
- Translate theoretical models into production-grade quantum cloud solutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development with 50+ qubit systems
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven track record publishing in top-tier quantum/AI conferences
- Strong Python/C++ proficiency with low-level hardware optimization skills
- Experience securing government research grants ($1M+)
- Deep understanding of quantum error correction and fault tolerance
- Fluency in tensor network simulations and quantum circuit optimization