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Senior Quantum AI Architect at 2026 | San Francisco, CA

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

Job Description

Are you ready to architect the future of technology?

At 2026, we aren't just predicting what's next; we are building it. We are seeking a visionary Senior Quantum AI Architect to lead our research division in developing scalable, next-generation artificial intelligence systems. If you thrive on solving complex problems at the intersection of quantum computing and deep learning, this is your opportunity to define the industry standard for 2026 and beyond.

Why join 2026?

You will work in a high-performance environment with top-tier talent, focusing on projects that will shape the technological landscape of the next decade. We offer competitive equity, remote flexibility, and the chance to work on groundbreaking technology.

Responsibilities

  • Architect and design scalable neural network architectures optimized for quantum processing units (QPUs).
  • Lead research initiatives into quantum machine learning algorithms to solve unsolvable problems today.
  • Collaborate with cross-functional teams of physicists, data scientists, and software engineers to integrate quantum APIs into cloud platforms.
  • Mentor junior engineers and PhD researchers, fostering a culture of innovation and continuous learning.
  • Oversee the deployment of AI models ensuring high throughput and low latency in production environments.
  • Stay ahead of the curve by analyzing emerging trends in quantum computing and AI regulation.

Qualifications

  • Master’s or PhD degree in Computer Science, Physics, or a related technical field.
  • Minimum of 8 years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Cirq, Qiskit).
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of leading technical teams and managing complex project lifecycles.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Quantum Computing Machine Learning Python TensorFlow PyTorch System Architecture Cloud Computing Docker Kubernetes AI/ML

Ready to Take This Challenge?

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

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