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2026 AI & Quantum Architect

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we build the infrastructure for 2026 and beyond. We seek a visionary 2026 AI & Quantum Architect to design and implement next-generation systems that will redefine industries. This role bridges the gap between theoretical quantum computing and practical AI deployment, requiring both deep technical expertise and strategic foresight.

In this pivotal position, you'll lead cross-functional teams to develop hybrid quantum-AI frameworks, solve complex optimization problems, and create scalable solutions for autonomous systems. You'll work directly with our innovation lab partners, including MIT and NASA, to pioneer breakthrough technologies that will shape the next decade.

Why Join Us? We offer unparalleled resources, a culture of radical innovation, and the opportunity to leave a lasting impact on human progress. Our Austin campus features state-of-the-art quantum computing labs and AI research facilities.

Responsibilities

  • Design and implement hybrid quantum-AI architectures for enterprise-scale applications
  • Lead research initiatives in quantum machine learning and neural network optimization
  • Develop strategic roadmaps for quantum computing integration into existing AI systems
  • Collaborate with hardware teams to design quantum-resistant cryptographic protocols
  • Mentor cross-disciplinary teams of quantum physicists, ML engineers, and domain experts
  • Present breakthrough findings at industry conferences and publish in top-tier journals
  • Secure $10M+ in research grants for cutting-edge quantum-AI projects

Qualifications

  • PhD in Quantum Computing, AI, or related field with 8+ years industry experience
  • Proven track record in deploying quantum algorithms at scale (e.g., Q#, Qiskit, Cirq)
  • Expertise in transformer architectures and large language model optimization
  • Published research in Nature/Science journals on quantum-AI hybrid systems
  • Experience securing $5M+ in government or corporate R&D funding
  • Deep understanding of quantum error correction and fault-tolerant computing
  • Strong background in cybersecurity for quantum-vulnerable systems

Required Skills

Quantum Computing AI/ML Cryptography Research Leadership Quantum Algorithms Machine Learning Cybersecurity

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