Job Description
Shape the future of artificial intelligence by designing next-generation quantum-computing systems at Nexus Quantum Labs. We're pioneering the intersection of quantum mechanics and machine learning to solve humanity's most complex challenges. Join our elite team of quantum physicists and AI researchers in Austin, Texas, where you'll develop scalable quantum neural networks and hybrid quantum-classical algorithms. Our state-of-the-art lab offers competitive compensation, cutting-edge resources, and the opportunity to patent breakthrough technologies. Apply now to be at the forefront of the 2026 quantum revolution.
Responsibilities
- Design and implement quantum neural network architectures for AI optimization
- Develop hybrid quantum-classical machine learning frameworks
- Lead research in quantum error correction for scalable AI systems
- Collaborate with quantum hardware teams to optimize algorithm performance
- Publish findings in leading scientific journals and industry conferences
- Secure research funding through government and private partnerships
- Mentor junior researchers in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in neural networks and deep learning frameworks
- Published research in quantum computing or AI (IEEE, Nature, etc.)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
- Proficiency in Python, C++, and high-performance computing environments
- Ability to secure competitive research grants