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Senior AI/Quantum Research Engineer - 2026 Vision

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI/Quantum Research Engineer to lead our groundbreaking initiatives for the 2026 roadmap. At Nebula Horizon Labs, we don't just predict the future; we engineer it. You will be at the forefront of merging classical machine learning with quantum computing paradigms to solve some of the world's most complex computational challenges.


In this role, you will design and implement next-generation algorithms that push the boundaries of artificial intelligence. If you are passionate about scalability, ethical AI, and the convergence of quantum hardware and software, we want to meet you.


Why Join Us?

  • Work on cutting-edge technology with a world-class engineering team.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.
  • Access to the latest quantum hardware and AI research tools.

Responsibilities

  • Design and optimize advanced neural network architectures for integration with quantum processors.
  • Lead research projects focused on machine learning efficiency and scalability for 2026 deployment.
  • Collaborate with cross-functional teams including quantum physicists, data scientists, and hardware engineers.
  • Implement and deploy robust ML pipelines using cloud-native technologies.
  • Mentor junior engineers and contribute to the technical vision of the company.
  • Ensure all AI models adhere to strict ethical guidelines and bias mitigation standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
  • Minimum of 5 years of professional experience in machine learning, deep learning, or AI research.
  • Experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of linear algebra, probability, and statistics.
  • Demonstrated ability to publish in top-tier AI/Quantum conferences or journals.

Required Skills

Quantum Computing Machine Learning Deep Learning Python PyTorch TensorFlow Qiskit Cirq Neural Networks Research Scalability

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