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Quantum AI Architect | 2026 Roadmap

OmniFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to architect the future of intelligence? OmniFuture Labs is seeking a visionary Quantum AI Architect to define the technical roadmap for 2026 and beyond. In this role, you will bridge the gap between cutting-edge quantum hardware and scalable artificial intelligence models, building the infrastructure that will redefine computation.

We are not just building software; we are defining the reality of next-generation computing. If you thrive in high-stakes environments and want to leave a legacy in the tech industry, this is your opportunity.

Why Join Us?

  • Pioneering Technology: Work on the forefront of Quantum Machine Learning (QML).
  • Impactful Work: Your code will solve problems currently deemed impossible for classical computers.
  • Competitive Compensation: Top-tier salary plus equity package.
  • Remote-First Culture: Flexible work arrangements for the best talent in the US.

Responsibilities

  • Lead the design and implementation of quantum algorithms for complex machine learning problems.
  • Develop hybrid quantum-classical models optimized for current and near-future quantum hardware.
  • Collaborate with hardware engineers to translate theoretical models into practical quantum circuits.
  • Define the technical strategy for our 2026 roadmap, ensuring scalability and feasibility.
  • Mentor a team of junior researchers and software engineers.
  • Conduct rigorous performance benchmarking and optimization of quantum software stacks.

Qualifications

  • PhD or Master's degree in Computer Science, Physics, Mathematics, or a related technical field.
  • Minimum of 5 years of experience in AI/ML, with a strong focus on algorithm development.
  • Proven experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
  • Deep understanding of linear algebra, probability theory, and optimization techniques.
  • Experience deploying machine learning models in cloud environments (AWS, Azure, GCP).
  • Excellent communication skills, with the ability to explain complex technical concepts to diverse stakeholders.

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq TensorFlow Linear Algebra Cloud Architecture Algorithm Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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