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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI & Quantum Systems Architect

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 320.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

We are at the forefront of the technological revolution, preparing for the monumental shifts of 2026. Apex Horizon Systems is seeking a visionary 2026 AI & Quantum Systems Architect to lead our R&D division in building the infrastructure of tomorrow.

In this role, you won't just be coding; you will be architecting the neural networks and quantum error correction protocols that will define the next decade of human-computer interaction. If you are driven by complexity and possess an obsession with performance, this is your stage.

Why join us?

  • Work with state-of-the-art quantum processing units (QPUs).
  • Shape the roadmap for AGI integration.
  • Competitive equity and salary packages.

Are you ready to define the future? Apply today.

Responsibilities

  • Design and implement scalable distributed architectures for next-gen AI workloads and quantum cloud services.
  • Lead the technical strategy for the '2026 Horizon' initiative, ensuring alignment with long-term business goals.
  • Collaborate with cross-functional teams to integrate novel machine learning models into core product lines.
  • Mentor senior engineering teams and foster a culture of innovation and technical excellence.
  • Conduct rigorous code reviews and architectural audits to ensure system integrity and security.
  • Research and prototype emerging technologies, including neuromorphic computing and edge AI.

Qualifications

  • Master’s degree or PhD in Computer Science, Physics, or a related technical field with 10+ years of experience.
  • Proven expertise in designing high-throughput, low-latency systems for AI inference and training.
  • Strong proficiency in Python, C++, and Rust, with specific experience in quantum SDKs (e.g., Qiskit, Cirq).
  • Demonstrated leadership experience managing large-scale engineering teams and projects.
  • Deep understanding of cloud infrastructure (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Quantum Computing Systems Architecture Python C++ Kubernetes AWS Machine Learning R&D Leadership

Ready to Take This Challenge?

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

Apply Now

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