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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect at 2026

2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join the Future at 2026 Labs

At 2026, we are not just predicting the future; we are engineering it. We are a premier research and development organization pioneering the next generation of Artificial Intelligence and Quantum Computing solutions. We are seeking a visionary Senior AI & Quantum Architect to lead our core research initiatives and bridge the gap between theoretical quantum mechanics and practical deep learning applications.

What You Will Do

As a key member of our elite engineering team, you will be responsible for designing scalable, high-performance neural networks that operate on quantum hardware architectures. You will define the technical roadmap for our proprietary AI engines and mentor a team of brilliant engineers.

Responsibilities

  • Design and implement cutting-edge Machine Learning models optimized for quantum computing environments.
  • Lead architectural decisions for large-scale data pipelines and distributed computing systems.
  • Collaborate with cross-functional teams to translate complex research into production-ready software.
  • Mentor junior engineers and conduct technical reviews to ensure code quality and best practices.
  • Stay at the forefront of industry trends in AI, Quantum Information Science, and High-Performance Computing (HPC).
  • Optimize model inference speeds and reduce computational overhead for real-time applications.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, or a related field with a focus on AI/Quantum.
  • 7+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, TensorFlow, and CUDA programming.
  • Experience working with quantum computing frameworks (Qiskit, Cirq, or similar).
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying large-scale AI models into production environments.

Required Skills

Python PyTorch TensorFlow CUDA Quantum Computing Machine Learning Distributed Systems Cloud Computing Docker Kubernetes AWS Data Science

Ready to Take This Challenge?

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