Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next era of quantum-AI convergence. We're seeking an AI Quantum Computing Strategist to architect transformative solutions that will redefine industries by 2026. This role blends cutting-edge research with practical implementation in a dynamic, future-focused environment where your innovations will directly shape tomorrow's digital landscape.
At Nexus Future Labs, you'll collaborate with Nobel laureates, quantum physicists, and AI pioneers to develop hybrid quantum-AI systems. Our Austin headquarters features state-of-the-art quantum labs and AI research centers, offering unparalleled resources to accelerate breakthrough discoveries. We offer comprehensive benefits including equity, flexible work arrangements, and continuous learning stipends.
Responsibilities
- Design and implement quantum-AI hybrid architectures for enterprise-scale applications
- Lead cross-functional teams in developing quantum algorithms for machine learning optimization
- Translate complex quantum computing concepts into actionable business strategies
- Establish ethical frameworks for quantum-AI deployment in regulated industries
- Drive R&D initiatives in quantum-resistant cryptography and AI security
- Develop 2026 technology roadmaps aligning quantum advancements with market demands
- Secure strategic partnerships with quantum hardware providers and research institutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (MS with exceptional experience)
- 5+ years in AI/quantum research with published work in top-tier journals
- Expertise in quantum programming languages (Qiskit, Cirq) and AI frameworks (TensorFlow Quantum)
- Proven experience bridging theoretical quantum concepts with practical AI implementations
- Strong background in ethical AI development and quantum security protocols
- Track record of leading technical teams in fast-paced R&D environments
- Deep understanding of NIS2 compliance and quantum threat landscapes