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Senior Quantum AI Engineer - 2026 Vision

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

The Future is Now. Are you ready to architect the next leap in artificial intelligence and quantum computing? Aether Dynamics is at the forefront of the 2026 technological revolution, building the neural interfaces that will redefine human potential. We are looking for a visionary Senior Quantum AI Engineer to lead our R&D division.

In this role, you will not just write code; you will define the fundamental algorithms that power the next decade of computing. Join a team of elite engineers and scientists dedicated to solving humanity's most complex problems through advanced technology.

Responsibilities

  • Lead the research and development of hybrid quantum-classical machine learning models for real-time decision making.
  • Architect scalable neural network architectures capable of processing petabyte-scale datasets with zero latency.
  • Collaborate with interdisciplinary teams to integrate quantum processors into edge computing environments.
  • Pioneer new algorithms for predictive analytics in autonomous systems and smart infrastructure.
  • Optimize existing codebases for maximum efficiency on next-gen hardware architectures.
  • Mentor junior engineers and establish best practices for the 2026 tech stack.

Qualifications

  • PhD or Master's degree in Computer Science, Physics, Mathematics, or a related technical field with a focus on AI or Quantum Mechanics.
  • 5+ years of professional experience in machine learning, deep learning, or quantum computing research.
  • Proficiency in Python, C++, and CUDA.
  • Experience with frameworks such as TensorFlow, PyTorch, or Qiskit.
  • Strong understanding of linear algebra, calculus, and probability theory.
  • Proven track record of publishing in top-tier AI/Quantum conferences (NeurIPS, ICML, etc.).

Required Skills

Quantum Computing Machine Learning Deep Learning Python C++ TensorFlow PyTorch Neural Networks Algorithm Design

Ready to Take This Challenge?

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