Job Description
Shape the future of technology at Nexus Dynamics as a Quantum AI Research Engineer. We're pioneering the next wave of computational intelligence that will redefine industries by 2026. Join our elite R&D team in Austin's innovation hub where you'll develop hybrid quantum-neural systems to solve humanity's most complex challenges.
What You'll Achieve: Architect breakthrough algorithms at the intersection of quantum computing and artificial intelligence. Your work will directly accelerate our mission to create autonomous quantum systems capable of solving problems currently deemed impossible—from drug discovery to climate modeling.
Responsibilities
- Design and implement quantum neural network architectures for AI optimization
- Develop error-correction protocols for quantum machine learning systems
- Lead research on quantum-classical hybrid computing frameworks
- Create simulation environments for quantum AI algorithm validation
- Collaborate with hardware teams to co-design quantum processors
- Publish findings in peer-reviewed journals and industry whitepapers
- Mentor junior researchers in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum algorithms and quantum machine learning frameworks
- Proficiency in Python, Qiskit, and quantum circuit design
- Strong background in linear algebra, probability, and information theory
- Experience with high-performance computing environments
- Published research in quantum computing or AI systems
- Deep understanding of quantum decoherence and error mitigation