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Senior AI & Quantum Systems Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

The Future is Here.

Nexus Future Systems is pioneering the next era of computational intelligence. We are seeking a visionary Senior AI & Quantum Systems Architect to lead the development of our flagship neural-quantum computing platform. If you are passionate about the convergence of artificial intelligence and quantum mechanics, and you want to define the technology landscape of 2026, we want to hear from you.

You will work in a high-performance environment focused on solving the world's most complex problems using next-generation algorithms and hardware integration.

Why Join Us?

  • Work on the bleeding edge of technology.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with access to premium hubs.
  • Access to the latest quantum hardware and AI accelerators.

Responsibilities

  • Architect and design scalable, fault-tolerant neural network architectures for quantum computing environments.
  • Collaborate with cross-functional teams of physicists, data scientists, and hardware engineers to optimize model inference.
  • Lead the implementation of advanced algorithms for predictive analytics and autonomous decision-making systems.
  • Ensure the security and integrity of data transmission in decentralized quantum networks.
  • Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
  • Research emerging trends in neuromorphic computing and edge AI to stay ahead of the curve.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, or a related quantitative field.
  • Minimum of 5 years of experience in AI/ML engineering, with a focus on deep learning frameworks (TensorFlow, PyTorch).
  • Experience with quantum computing frameworks (Qiskit, Cirq) or equivalent simulation environments.
  • Proficiency in programming languages such as Python, C++, and Rust.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and system optimization.
  • Demonstrated ability to lead technical projects from concept to deployment.

Required Skills

Python C++ Quantum Computing TensorFlow PyTorch AWS System Architecture Machine Learning Deep Learning Distributed Systems

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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