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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

We are Nexus 2026, a pioneering force in the next generation of computational intelligence. As we race towards the technological horizon of 2026, we are seeking a visionary Senior AI & Quantum Systems Architect to lead our research and development initiatives. This is a unique opportunity to define the architecture of the future, bridging the gap between classical AI and quantum computing paradigms.

Our mission is to build scalable, efficient, and transformative systems that will power the digital ecosystem of tomorrow. You will be working in a high-performance environment that values innovation, speed, and technical excellence.

Responsibilities

  • Architect Next-Gen AI Solutions: Design and implement complex AI and quantum algorithms optimized for next-generation hardware.
  • Lead Technical Strategy: Define the architectural roadmap for our computing infrastructure, ensuring scalability and performance for 2026 goals.
  • Research & Innovation: Conduct cutting-edge research in neural networks, machine learning, and quantum machine learning (QML).
  • System Integration: Oversee the integration of AI models into large-scale, real-time production environments.
  • Mentorship: Guide a team of talented engineers, fostering a culture of continuous learning and technical mastery.
  • Collaboration: Partner with product managers and stakeholders to translate business requirements into technical realities.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
  • Experience: 5+ years of experience in software engineering with a strong focus on AI, Machine Learning, or Quantum Computing.
  • Technical Skills: Proficiency in Python, C++, and quantum computing frameworks such as Qiskit or Cirq.
  • Frameworks: Deep understanding of TensorFlow, PyTorch, and distributed computing systems.
  • Cloud Expertise: Experience deploying models on AWS, GCP, or Azure.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous technical problems with innovative solutions.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning System Architecture Python Quantum Machine Learning AWS GCP Distributed Systems Software Engineering

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