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Senior AI & Quantum Architect (2026 Vision)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI & Quantum Architect to lead the development of next-generation cognitive systems for 2026 and beyond. At Apex Future Systems, we don't just predict the future; we build it.

In this role, you will design the infrastructure that powers autonomous decision-making and quantum-enhanced machine learning models. You will be at the forefront of integrating neural networks with quantum processors to solve problems deemed impossible today.

Why join us?

  • Work on cutting-edge projects that redefine industry standards.
  • Competitive equity package and top-tier benefits.
  • Collaborate with world-class engineers and researchers.

Responsibilities

  • Architect scalable, high-performance AI infrastructure capable of processing exabytes of data.
  • Lead the integration of quantum algorithms into existing machine learning pipelines.
  • Optimize deep learning models for edge computing devices and latency-sensitive environments.
  • Define technical roadmaps for the AI evolution towards 2026 standards.
  • Mentor a team of talented engineers and researchers in best practices for scalable systems.
  • Conduct rigorous code reviews and performance testing.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Proficiency in Python, Rust, and C++.
  • Deep understanding of Deep Learning frameworks (TensorFlow, PyTorch) and Quantum Computing libraries (Qiskit, Cirq).
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Strong track record of delivering complex systems under tight deadlines.

Required Skills

Python TensorFlow Quantum Computing Machine Learning Cloud Architecture Rust C++ Docker Kubernetes PyTorch System Design

Ready to Take This Challenge?

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