Job Description
Join Nexus Quantum 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 Research Scientist, you'll collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco lab. We offer competitive equity packages, unlimited learning stipends, and the opportunity to publish groundbreaking research in Science and Nature.
Responsibilities
- Design and implement quantum algorithms leveraging machine learning frameworks
- Develop hybrid quantum-classical models for real-world problem-solving
- Lead cross-functional R&D projects with aerospace and biotech partners
- Author peer-reviewed publications and patents in quantum-AI convergence
- Optimize quantum circuits for NISQ-era hardware limitations
- Present findings at global conferences including IEEE Quantum Week
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (post-doc preferred)
- 3+ years experience with Qiskit, Cirq, or PennyLane frameworks
- Published research in quantum machine learning or topological quantum computing
- Expertise in Python, TensorFlow, and quantum circuit optimization
- Strong background in error correction and fault-tolerant architectures
- Proven track record of translating theory into scalable solutions