Job Description
Join Nexus Dynamics at the forefront of technological evolution. We're pioneering quantum-AI fusion systems that will redefine computing by 2026. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that bridge quantum mechanics and artificial intelligence, solving previously unsolvable challenges in cryptography, optimization, and machine learning. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
We value intellectual curiosity and collaborative innovation. You'll work alongside Nobel laureates and Turing Award winners in an environment where your ideas shape the future. Our comprehensive benefits include equity grants, unlimited learning stipends, and flexible hybrid work arrangements designed for peak productivity and work-life harmony.
Responsibilities
- Design and implement novel quantum machine learning algorithms for commercial applications
- Develop hybrid quantum-classical frameworks for enterprise-scale optimization problems
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Collaborate with hardware teams to co-design quantum processors and AI accelerators
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and drive cross-functional innovation sprints
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum algorithms or quantum machine learning
- Strong background in linear algebra, probability theory, and quantum information theory
- Proven ability to translate complex theoretical concepts into practical implementations
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)