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Artificial Intelligence 🏒 Full Time ⭐️ Verified

AI & Quantum Systems Engineer

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Welcome to the future of technology. Nexus Horizon Technologies is pioneering the next generation of computational systems. We are looking for a visionary AI & Quantum Systems Engineer to join our elite team in San Francisco. In this role, you will be at the forefront of developing algorithms that bridge classical and quantum computing paradigms, shaping the landscape of technology for the year 2026 and beyond.

As a critical member of our R&D division, you will tackle complex challenges that require not just coding expertise, but a deep understanding of neural networks, quantum entanglement, and scalable distributed systems. If you are passionate about building systems that defy traditional limitations, we want to hear from you.

Why Join Us?

  • Work with state-of-the-art hardware and software stacks.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options in the Bay Area.
  • Professional development in cutting-edge fields.

Responsibilities

  • Design and implement advanced machine learning models optimized for quantum hardware architectures.
  • Conduct research and development of novel algorithms to improve processing speed and accuracy.
  • Collaborate with cross-functional teams to integrate AI solutions into broader product ecosystems.
  • Mentor junior engineers and provide technical guidance on system design and best practices.
  • Test, debug, and optimize existing systems to ensure high availability and performance.
  • Stay abreast of the latest trends in quantum computing and artificial intelligence.

Qualifications

  • Master’s or PhD degree in Computer Science, Physics, Mathematics, or a related field.
  • 5+ years of experience in software engineering, machine learning, or quantum computing.
  • Proficiency in Python, C++, and CUDA programming.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Strong understanding of linear algebra, probability, and statistics.
  • Demonstrated ability to work in a fast-paced, agile environment.

Required Skills

Python C++ Machine Learning Quantum Computing TensorFlow PyTorch Distributed Systems Deep Learning CUDA Agile

Ready to Take This Challenge?

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