Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI integration systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms for our proprietary quantum processors while collaborating with Nobel laureates and industry disruptors. Our Austin campus features state-of-the-art labs and unlimited R&D resources to fuel your breakthrough innovations.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Optimize quantum circuit architectures for hybrid quantum-classical systems
- Lead cross-functional prototyping of quantum-AI integration frameworks
- Publish peer-reviewed research in top-tier journals and conferences
- Develop scalable solutions for quantum error correction and decoherence mitigation
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Proficiency with quantum programming languages (Q#, Cirq, Qiskit)
- Published research in quantum machine learning or quantum algorithms
- Expertise in tensor network simulations and quantum circuit optimization
- Strong background in Python, TensorFlow/PyTorch, and HPC environments
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Proven track record of translating theory into practical implementations