Job Description
Shape the future of human-machine collaboration at Nexus Quantum Dynamics. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Engineer, you'll develop next-gen algorithms that redefine computational boundaries. Join our Austin-based innovation hub where Nobel laureates and disruptors converge to build the impossible.
Responsibilities
- Design and implement quantum neural networks for real-world AI applications
- Develop error-correction protocols for quantum machine learning systems
- Lead cross-functional teams in prototyping quantum-AI hybrid solutions
- Optimize quantum algorithms for scalability in production environments
- Publish breakthrough research in top-tier scientific journals
- Collaborate with hardware teams to co-design quantum processors
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Proven track record in quantum algorithm development
- Strong foundation in machine learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or related fields
- Experience with high-performance computing environments
- Deep understanding of quantum error correction techniques
- Ability to translate complex quantum concepts into practical applications