Job Description
Join Nexus Futuristics at the frontier of technological evolution as we engineer the quantum-AI landscape of 2026. We're seeking a visionary Quantum AI Architect to design next-gen systems that bridge quantum computing and artificial intelligence. This role offers unparalleled influence in shaping humanity's technological future through groundbreaking research and implementation.
As a key innovator in our Austin R&D hub, you'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum neural networks. You'll architect solutions for climate modeling, molecular medicine, and autonomous systems while mentoring the next generation of quantum engineers. Our culture values audacious thinking and celebrates paradigm-shifting breakthroughs.
We provide state-of-the-art lab facilities, competitive equity packages, and flexible work arrangements designed for peak innovation. If you're ready to transform theoretical possibilities into tangible realities that will define the next decade, this is your moment.
Responsibilities
- Design and implement hybrid quantum-AI frameworks for 2026-era computational challenges
- Lead cross-disciplinary teams in developing fault-tolerant quantum neural networks
- Architect scalable quantum machine learning pipelines for real-world applications
- Pioneer quantum-resistant cybersecurity protocols for post-quantum ecosystems
- Develop predictive models for quantum computing hardware evolution and market impact
- Collaborate with academic institutions on quantum-AI standardization initiatives
- Present breakthrough architectures to C-suite executives and industry consortiums
Qualifications
- PhD in Quantum Computing, AI Systems, or Computational Physics with 5+ years industry experience
- Proven expertise in quantum circuit design and error correction methodologies
- Mastery of quantum programming languages (Qiskit, Cirq, Q#) and ML frameworks
- Published research in quantum machine learning or quantum algorithm optimization
- Experience architecting hybrid classical-quantum systems with >100-qubit implementations
- Demonstrated ability to translate theoretical concepts into production-ready solutions
- Strong background in ethical AI development and quantum governance frameworks