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Senior Quantum AI Engineer (2026 Roadmap)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the dawn of a new era in technology. Nexus Horizon Systems is seeking a visionary Senior Quantum AI Engineer to lead the development of our 2026 strategic roadmap. In this role, you will bridge the gap between theoretical quantum computing and practical deep learning applications, building the infrastructure that will define the next decade of artificial intelligence.

You will work in a high-performance environment, collaborating with top-tier researchers and engineers to solve complex problems that traditional silicon-based processors cannot handle. If you are passionate about the future and want to shape the trajectory of AI in the year 2026 and beyond, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable quantum algorithms integrated with neural networks.
  • R&D Strategy: Lead the research and development team in identifying breakthrough technologies for the 2026 product line.
  • System Integration: Integrate quantum processing units (QPUs) with cloud infrastructure to optimize data throughput and model training speeds.
  • Team Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical concepts into actionable roadmaps.
  • Performance Optimization: Continuously refine models to ensure efficiency, accuracy, and reduced latency in high-stakes environments.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Quantum Physics, or a related technical field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years specifically in AI/ML or quantum computing research.
  • Technical Skills: Proficiency in Python, C++, TensorFlow/PyTorch, and familiarity with quantum libraries such as Qiskit or Cirq.
  • Leadership: Demonstrated ability to lead technical teams and manage large-scale projects from conception to deployment.
  • Innovation: A strong track record of published research or patents in the fields of machine learning or quantum mechanics.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Python Deep Learning C++ TensorFlow Qiskit Cloud Architecture Technical Leadership

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