Job Description
Join Nexus Labs at the forefront of technological evolution. We're pioneering quantum-AI integration systems that will redefine computing paradigms by 2026. As a Quantum AI Research Engineer, you'll architect next-gen algorithms at the intersection of quantum mechanics and artificial intelligence, working in our state-of-the-art Austin research facility. Collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in cryptography, optimization, and machine learning. This role offers unparalleled growth opportunities in a startup environment backed by $500M+ in venture capital.
Responsibilities
- Design and implement quantum algorithms leveraging QML frameworks for real-world applications
- Develop hybrid quantum-classical AI systems achieving exponential computational advantages
- Lead cross-functional teams in prototyping quantum neural networks and optimization models
- Publish breakthrough research in top-tier journals and industry whitepapers
- Secure patents for novel quantum-AI methodologies with commercialization potential
- Maintain quantum hardware integration with cloud-based AI infrastructure
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and error correction techniques
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python/C++ with deep learning frameworks (PyTorch, TensorFlow)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in cryptography and complexity theory
- Track record of translating theoretical models into functional prototypes