Job Description
Shape the future of artificial intelligence at Nexus Labs. We're pioneering quantum-AI convergence technologies that will redefine computing by 2026. Join our elite team of innovators developing next-generation neural networks and quantum-resistant algorithms. This is your chance to work at the intersection of theoretical physics and machine learning in Austin's thriving tech ecosystem.
Responsibilities
- Design and implement quantum-enhanced AI models for real-world applications
- Lead R&D on quantum-resistant encryption protocols for next-gen systems
- Collaborate with quantum hardware teams to optimize AI-quantum interfaces
- Develop proprietary algorithms for quantum machine learning acceleration
- Publish breakthrough research in top-tier AI/quantum journals
- Mentor junior scientists in quantum-AI integration techniques
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- Expertise in quantum algorithms and machine learning frameworks
- Published research in quantum-AI convergence or quantum information theory
- Proficiency in Python, TensorFlow, and quantum SDKs (Qiskit, Cirq)
- Experience with NISQ-era hardware and error mitigation strategies
- Strong background in linear algebra and quantum physics fundamentals
- Demonstrated ability to lead complex technical projects