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Senior Quantum-AI Hybrid Architect

Nexus Future Tech
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to build the infrastructure of tomorrow, today? Nexus Future Tech is pioneering the convergence of quantum computing and generative AI. We are seeking a visionary Senior Quantum-AI Hybrid Architect to lead our R&D initiatives aimed at the 2026 technological landscape. In this role, you will design next-gen systems that leverage the power of quantum entanglement to solve complex optimization problems currently unsolvable by classical silicon.

As we approach the critical year of 2026, our team is focused on integrating post-silicon architectures with neural networks. This is not just a job; it is a mission to redefine the boundaries of human-machine collaboration.

Responsibilities

  • Architect and design scalable quantum-adjacent neural networks capable of processing exabyte-scale data streams.
  • Lead high-level system architecture reviews to ensure alignment with 2026 industry standards for AI safety and efficiency.
  • Collaborate directly with quantum hardware engineers to optimize software algorithms for emerging qubit stability.
  • Develop and implement robust error-correction protocols for probabilistic computing environments.
  • Mentor a team of junior architects and data scientists in emerging paradigms such as neuromorphic computing.
  • Define the technical roadmap for integrating zero-knowledge proofs into decentralized AI models.
  • Conduct rigorous performance benchmarking against classical supercomputers.

Qualifications

  • Master’s or Ph.D. in Computer Science, Quantum Physics, or a related field (Graduates of the 2025-2026 class are highly encouraged to apply).
  • Minimum of 5 years of professional experience in distributed systems and high-performance computing.
  • Deep proficiency in Python, Rust, and C++ with a focus on memory safety and concurrency.
  • Hands-on experience with quantum simulation tools (e.g., Qiskit, Cirq, or Azure Quantum) is required.
  • Strong understanding of AI alignment, safety, and ethics within the context of advanced AGI development.
  • Proven track record of leading cross-functional teams in a fast-paced, innovative environment.

Required Skills

Quantum Computing AI Architecture Python Rust Distributed Systems High-Performance Computing Machine Learning System Design

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