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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Engineer

Quantum Horizon 2026
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the Future of Technology. At Quantum Horizon 2026, we are not just anticipating the trends of tomorrow; we are engineering them. We are a forward-thinking research lab dedicated to defining the technological landscape of the year 2026 and beyond. We are seeking a visionary Senior AI & Quantum Systems Engineer to lead our core infrastructure development.

In this pivotal role, you will bridge the gap between artificial intelligence and quantum computing. You will architect scalable neural networks, optimize complex algorithmic pipelines, and deploy systems that push the boundaries of what is possible in modern computing. If you are driven by innovation and want to leave a lasting legacy in the tech industry, this is your opportunity.

What You Will Do:

  • Design and deploy high-performance AI and quantum computing systems.
  • Lead the architectural vision for next-gen machine learning models.
  • Mentor a team of elite engineers and conduct rigorous technical reviews.
  • Optimize system latency and computational efficiency for large-scale data.
  • Collaborate with cross-functional teams to define product roadmaps.
  • Research emerging technologies to ensure our solutions remain future-proof.

Responsibilities

  • Architect and deploy scalable AI and quantum computing systems.
  • Design high-performance algorithms for next-gen neural networks.
  • Mentor junior engineers and conduct technical code reviews.
  • Optimize system latency and computational efficiency.
  • Collaborate with cross-functional teams to define product roadmaps.
  • Research emerging technologies to ensure our systems remain future-proof.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, or a related field.
  • 5+ years of professional experience in AI/ML or Quantum Computing.
  • Proficiency in Python, C++, and TensorFlow or PyTorch.
  • Experience with cloud platforms (AWS/GCP) and containerization (Docker/K8s).
  • Strong understanding of parallel computing and distributed systems.
  • Excellent problem-solving skills and leadership abilities.

Required Skills

Python Machine Learning Quantum Computing C++ TensorFlow AWS Docker Kubernetes System Architecture Leadership

Ready to Take This Challenge?

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