Job Description
Join the vanguard of technological evolution at Nexus Future Labs, where we're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Engineer, you'll architect next-generation systems that will redefine computational capabilities by 2026.
We're seeking visionary minds to develop hybrid quantum-classical algorithms, optimize machine learning models on quantum hardware, and contribute to breakthroughs in materials science, cryptography, and climate modeling. Our Austin hub offers state-of-the-art labs and a culture that thrives on intellectual curiosity and collaborative innovation.
Responsibilities
- Design and implement quantum algorithms for AI acceleration
- Develop error-corrected quantum circuits for machine learning applications
- Optimize neural network architectures for quantum advantage
- Collaborate with physicists to translate quantum phenomena into practical AI solutions
- Research quantum-resistant cryptographic protocols
- Lead cross-functional projects with materials science and data science teams
- Publish findings in peer-reviewed journals and present at international conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Published research in quantum machine learning or quantum information
- Expertise in high-performance computing and parallel processing
- Demonstrated ability to translate theoretical concepts into practical implementations