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Quantum AI Systems Architect

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-integrated AI systems for 2026 and beyond. We're seeking a visionary Quantum AI Systems Architect to design next-generation computational frameworks that will redefine industries. Our Austin-based hub combines cutting-edge research with agile development, offering unparalleled opportunities to shape tomorrow's digital landscape. You'll collaborate with Nobel laureates, lead cross-disciplinary teams, and transform theoretical concepts into scalable solutions.

Why Nexus Future Labs? We offer competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art Quantum Computing Lab. Our commitment to continuous learning includes annual innovation sabbaticals and tuition reimbursement for emerging tech certifications.

Responsibilities

  • Design hybrid quantum-classical AI architectures for real-world applications
  • Lead R&D initiatives in quantum machine learning algorithms
  • Develop fault-tolerant quantum error correction protocols
  • Create cross-platform integration frameworks for legacy and quantum systems
  • Present architectural blueprints to executive stakeholders and investors
  • Mentor junior engineers in quantum computing principles
  • Collaborate with hardware teams on qubit optimization strategies

Qualifications

  • PhD in Quantum Computing, Computer Science, or related field
  • 5+ years experience in AI/ML system architecture
  • Published research in quantum machine learning or quantum algorithms
  • Expertise in Qiskit, Cirq, or similar quantum development frameworks
  • Proficiency in high-performance computing environments
  • Strong background in distributed systems and cloud architecture
  • Experience leading technical teams in agile environments

Required Skills

Quantum Computing AI Architecture Machine Learning Qiskit Cirq Distributed Systems High-Performance Computing Fault Tolerance

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