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Senior Quantum AI Architect

Nebula Future Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join the Architects of the Post-Silicon Era.

Nebula Future Systems is pioneering the next leap in computing. As we approach the pivotal year of 2026, we are seeking a visionary Senior Quantum AI Architect to lead the integration of quantum computing power into scalable, classical machine learning pipelines. You won't just be writing code; you will be defining the standard for artificial intelligence in a quantum-dominant future.

Why You’ll Thrive Here:

  • Revolutionary Impact: Work on projects that redefine computational limits.
  • Top-Tier Compensation: Competitive salary plus equity in a pre-IPO unicorn.
  • Future-Proof Your Career: Be at the forefront of the tech stack of tomorrow.

We are looking for a self-starter who is obsessed with efficiency and possesses a deep understanding of both quantum mechanics and deep learning architectures.

Responsibilities

  • Design and implement hybrid classical-quantum algorithms to solve complex optimization problems in real-time.
  • Architect scalable infrastructure that integrates quantum processors with cloud-based AI workloads.
  • Collaborate with theoretical physicists and software engineers to translate quantum algorithms into production-ready code.
  • Mentor junior architects and researchers in best practices for quantum software development.
  • Conduct performance analysis to identify bottlenecks in quantum circuit execution and optimize qubit usage.
  • Stay ahead of the curve on emerging quantum hardware trends and contribute to the technical roadmap.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field with a focus on Quantum Computing.
  • Minimum of 5+ years of experience in software engineering, specifically with Python, C++, or CUDA.
  • Hands-on experience with quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
  • Proven track record of deploying machine learning models in high-scale environments (AWS, GCP, Azure).
  • Strong understanding of linear algebra, probability theory, and stochastic processes.
  • Excellent communication skills with the ability to bridge the gap between theoretical physics and engineering implementation.

Required Skills

Quantum Computing Python C++ Machine Learning AWS Kubernetes Quantum Algorithms Linear Algebra Neural Networks Quantum Simulation

Ready to Take This Challenge?

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