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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Integration Engineer (2026)

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

Job Description

We are pioneering the next generation of intelligence, preparing our infrastructure for the Year 2026 and beyond. Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Integration Engineer to bridge the gap between classical machine learning and emerging quantum computing paradigms.

In this role, you will architect scalable neural networks that leverage quantum processors, optimize algorithms for edge deployment in autonomous systems, and define the technical roadmap for our flagship AI products. If you are passionate about the future of technology and want to build the systems that will define the 2026 landscape, we want to hear from you.

Why Join Us?

  • Work on cutting-edge technology that shapes the future.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with state-of-the-art office spaces in San Francisco.
  • Continuous learning and development opportunities.

Responsibilities

  • Design and implement advanced AI architectures optimized for post-2026 quantum hardware environments.
  • Integrate quantum processing units (QPUs) with classical cloud infrastructure to enhance model training speed and accuracy.
  • Lead the optimization of deep learning models for deployment on resource-constrained edge devices.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards across the AI team.
  • Collaborate with product managers to translate complex 2026 roadmap requirements into technical specifications.
  • Research and prototype novel algorithms for real-time decision-making in autonomous systems.

Qualifications

  • Master’s degree in Computer Science, Physics, or a related field; PhD preferred.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Quantum Computing.
  • Proficiency in Python, C++, and Rust, with extensive experience using frameworks like TensorFlow, PyTorch, or Qiskit.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Experience with distributed systems and high-performance computing (HPC).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

AI Machine Learning Deep Learning Quantum Computing Python C++ TensorFlow PyTorch AWS Docker Kubernetes Distributed Systems Edge Computing

Ready to Take This Challenge?

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