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Senior Quantum AI Engineer - San Francisco, CA

Nebula 2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Join the Vanguard of the Future

Nebula 2026 Systems is pioneering the next generation of intelligence by bridging the gap between classical Artificial Intelligence and Quantum Computing. We are looking for a visionary Senior Quantum AI Engineer to lead the research and development of algorithms that will define the technological landscape of 2026 and beyond.

In this role, you won't just be writing code; you will be architecting the future of computation. You will work in a state-of-the-art facility in San Francisco, collaborating with world-class physicists and data scientists to solve problems previously deemed unsolvable.

Why Nebula 2026?

  • Be part of Project 2026: The most ambitious AI initiative in Silicon Valley.
  • Work with cutting-edge hardware and software stacks.
  • Competitive equity package and top-tier compensation.

Responsibilities

  • Design, implement, and optimize quantum algorithms for machine learning tasks, specifically focusing on Variational Quantum Eigensolvers (VQE) and Quantum Approximate Optimization Algorithm (QAOA).
  • Collaborate with hardware teams to translate theoretical models into practical quantum circuit designs.
  • Analyze quantum error correction techniques to improve model fidelity and stability.
  • Mentor junior engineers and researchers in quantum programming best practices.
  • Conduct rigorous testing and benchmarking of AI models on hybrid classical-quantum processors.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
  • 5+ years of experience in software engineering with strong proficiency in Python and C++.
  • Hands-on experience with quantum computing frameworks such as Qiskit, Cirq, or Pennylane.
  • Deep understanding of linear algebra, probability theory, and statistical mechanics.
  • Experience deploying large-scale machine learning models in production environments.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ Quantum Algorithms Qiskit Tensorflow PyTorch Research

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