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Information Technology 🏢 Full Time ⭐️ Verified

Lead Systems Architect - Project 2026

Horizon 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are pioneering the technological frontier with Project 2026, a revolutionary initiative focused on integrating advanced quantum computing with next-generation artificial intelligence. We are looking for a visionary Lead Systems Architect to design the core infrastructure that will power the future of our platform.

In this role, you will bridge the gap between theoretical physics and practical software engineering. You will be responsible for architecting scalable, fault-tolerant systems that operate at the edge of current technological capability. If you are driven by complexity, innovation, and the desire to leave a lasting impact on the tech landscape, we want to hear from you.

Why Join Us?

  • Work on a $1B+ funded mission to redefine human-computer interaction.
  • Access to the latest hardware in our proprietary quantum research lab.
  • Competitive equity package and top-tier healthcare benefits.
  • Flexible remote-first policy with a vibrant office culture in San Francisco.

Responsibilities

  • Architect and design the core software infrastructure for Project 2026, ensuring high availability and scalability.
  • Collaborate with quantum physicists to translate theoretical models into executable code.
  • Lead a team of senior engineers in implementing microservices and distributed systems.
  • Define technical roadmaps and best practices for AI/ML model deployment.
  • Mentor junior developers and foster a culture of continuous innovation and technical excellence.
  • Conduct rigorous code reviews and system audits to mitigate security risks and performance bottlenecks.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or Physics; Master’s degree preferred.
  • 10+ years of experience in systems architecture, with a focus on large-scale distributed systems.
  • Deep knowledge of Python, C++, and Rust.
  • Experience with Quantum Computing frameworks (Qiskit, Cirq, or similar).
  • Strong proficiency in Machine Learning frameworks (TensorFlow, PyTorch) and MLOps pipelines.
  • Proven track record of leading high-performance engineering teams in a fast-paced startup environment.

Required Skills

Python C++ Rust Quantum Computing Qiskit TensorFlow System Architecture Distributed Systems MLOps Machine Learning

Ready to Take This Challenge?

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