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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Nexus Horizon is pioneering the technological landscape for the 2026 era and beyond. We are seeking a visionary Senior AI & Quantum Systems Architect to lead our Research and Development division. In this role, you will design the foundational algorithms that bridge classical computing with next-generation quantum processing, ensuring our systems remain at the forefront of innovation.

You will work in a dynamic, high-performance environment where your expertise will directly shape the future of intelligent systems. We offer a competitive package, equity opportunities, and the chance to define the industry standards for 2026 and the decades to follow.

Responsibilities

  • Architect and implement scalable quantum algorithms and machine learning models designed for the post-silicon era.
  • Lead a cross-functional team of data scientists and engineers to transition legacy systems into future-proof architectures.
  • Conduct research on emerging technologies, specifically focusing on neuromorphic computing and hybrid quantum-classical systems.
  • Mentor junior developers and researchers, fostering a culture of continuous learning and innovation.
  • Collaborate with stakeholders to define technical roadmaps and ensure alignment with the company's long-term vision.
  • Optimize system performance and reduce latency in real-time data processing environments.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
  • 7+ years of experience in software engineering, with at least 3 years in AI/ML or Quantum Computing.
  • Proficiency in Python, C++, and Rust, with deep understanding of parallel computing.
  • Experience with quantum simulators (e.g., Qiskit, Cirq) and classical ML frameworks (TensorFlow, PyTorch).
  • Strong problem-solving skills and the ability to navigate ambiguity in fast-paced research environments.
  • Excellent communication skills, capable of translating complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ Quantum Computing Machine Learning Neural Networks System Architecture Research Leadership

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