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Senior AI & Quantum Architect | San Francisco, CA

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

Job Description

Are you ready to architect the future of computing? Nexus Horizon Systems is seeking a visionary Senior AI & Quantum Architect to lead our breakthrough research in hybrid intelligence. In this pivotal role, you will bridge the gap between artificial intelligence and quantum mechanics, designing scalable systems that will define the technological landscape of 2026 and beyond.

We are not just building software; we are engineering the fabric of reality. If you have a passion for pushing the boundaries of what is possible in software engineering and theoretical physics, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that redefine industry standards.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a premium office in downtown San Francisco.

Responsibilities

  • Design and implement hybrid quantum-AI architectures capable of solving complex computational problems intractable for classical systems.
  • Lead the migration of legacy machine learning models onto next-generation quantum processing units (QPUs).
  • Define the technical roadmap for our 2026 product suite, ensuring feasibility and scalability.
  • Collaborate with a multidisciplinary team of physicists, data scientists, and software engineers to optimize algorithms for coherence times and error correction.
  • Oversee the deployment of secure, decentralized neural networks across distributed cloud environments.
  • Conduct rigorous code reviews and mentor junior architects to foster a culture of technical excellence.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Quantum Physics, Applied Mathematics, or a related field.
  • Minimum of 5 years of experience in software engineering with a strong focus on AI/ML and distributed systems.
  • Deep proficiency in quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
  • Extensive experience with Python, TensorFlow, PyTorch, and cloud infrastructure (AWS, Azure, or Google Cloud).
  • Proven track record of leading technical projects from conception to deployment.
  • Excellent problem-solving skills and the ability to communicate complex concepts to non-technical stakeholders.

Required Skills

Python TensorFlow Qiskit Cirq AWS Azure Quantum Distributed Systems Machine Learning Neural Networks Cloud Architecture Quantum Computing

Ready to Take This Challenge?

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

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