Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computing paradigms. As a Quantum AI Systems Engineer, you'll architect hybrid systems merging quantum processors with neural networks, solving previously unsolvable problems in cryptography, drug discovery, and climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
Responsibilities
- Design and implement quantum-AI hybrid architectures for next-gen computing platforms
- Develop error-correction protocols for quantum machine learning models
- Optimize neural networks to leverage quantum processing advantages
- Lead cross-functional teams in prototyping 2026-era computing solutions
- Secure patents for novel quantum-AI integration methodologies
- Collaborate with academic institutions on quantum computing research
Qualifications
- PhD in Quantum Computing, AI, or related field (MS with exceptional experience)
- 5+ years experience in quantum algorithm development or machine learning systems
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Proficiency in TensorFlow/PyTorch with quantum integration experience
- Published research in quantum machine learning or quantum information theory
- Strong background in high-performance computing architectures