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Senior Quantum AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are pioneering the future of technology and are seeking a visionary Senior Quantum AI Architect to lead our 2026 roadmap initiatives. At Nexus Horizon Labs, we don't just predict the future; we build it. You will be at the forefront of integrating quantum computing power with advanced artificial intelligence to solve humanity's most complex problems.

In this role, you will define the architectural blueprint for our next-generation systems, ensuring scalability, security, and unparalleled performance. If you are passionate about pushing the boundaries of what is possible and want to shape the technological landscape of 2026 and beyond, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and implement scalable quantum-classical hybrid architectures that leverage the latest advancements in AI and quantum computing.
  • Roadmap Strategy: Define the technical roadmap for 2026, identifying key technologies and frameworks that will drive our competitive advantage.
  • Algorithm Development: Develop and optimize quantum algorithms for complex machine learning tasks, focusing on speed and precision.
  • Team Mentorship: Lead a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
  • System Integration: Integrate quantum solutions into existing cloud infrastructure, ensuring seamless interoperability and data flow.
  • R&D Collaboration: Partner with research scientists to translate theoretical breakthroughs into practical, deployable software solutions.
  • Performance Optimization: Continuously monitor and optimize system performance to handle massive datasets with real-time processing capabilities.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or AI.
  • Experience: 7+ years of experience in software engineering, with at least 3 years specifically in quantum computing or advanced AI systems.
  • Technical Skills: Proficiency in Python, C++, and TensorFlow or PyTorch. Hands-on experience with quantum programming frameworks such as Qiskit, Cirq, or AWS Braket.
  • System Design: Strong background in distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems and translate them into robust technical solutions.
  • Leadership: Proven track record of leading high-performing engineering teams and mentoring junior developers.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Quantum Computing Machine Learning Python C++ TensorFlow System Architecture Cloud Computing Leadership

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