Job Description
Shape the technological frontier with Nexus Future Labs! We're seeking a visionary Quantum AI Architect to revolutionize how humanity interacts with intelligent systems by 2026. This pivotal role bridges quantum computing and artificial intelligence to solve previously unsolvable challenges in climate modeling, drug discovery, and sustainable energy. Join our elite team of futurists where your work directly impacts global technological evolution.
As a pioneer in next-gen computing, you'll architect hybrid quantum-AI frameworks that push computational boundaries. Our Austin hub offers state-of-the-art labs, collaborative workspaces, and unparalleled resources for groundbreaking research. We empower our talent with flexible schedules, competitive equity, and continuous learning opportunities in the world's most dynamic tech ecosystem.
Responsibilities
- Design and implement scalable quantum-AI integration frameworks for 2026-era applications
- Lead cross-disciplinary teams in developing quantum neural networks and AI optimization algorithms
- Architect secure decentralized systems leveraging quantum-resistant cryptography
- Develop predictive models for quantum hardware evolution and AI capability convergence
- Establish ethical governance protocols for autonomous quantum-AI decision systems
- Drive partnerships with quantum hardware providers and AI research institutions
- Produce technical whitepapers and roadmaps for quantum-AI commercialization
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's) and deep learning architectures
- Proven track record publishing in Nature/Science or equivalent tier journals
- Proficiency with Qiskit, Cirq, TensorFlow Quantum, and cloud quantum platforms
- Experience leading technical teams through full product lifecycle from concept to deployment
- Strong background in ethical AI frameworks and quantum security protocols
- Ability to translate complex quantum-AI concepts for executive and technical stakeholders