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Senior AI & Quantum Computing Architect

Nexus 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are Nexus 2026 Technologies, a pioneer in the field of next-generation Artificial Intelligence and Quantum Computing. We are building the infrastructure that will define the technological landscape of the mid-21st century. We are looking for a visionary Senior AI & Quantum Computing Architect to lead our R&D division in San Francisco.

In this role, you won't just write code; you will architect the future of human-computer interaction. You will bridge the gap between classical deep learning and quantum mechanics, creating systems that are exponentially more powerful than anything available today.

Join us to shape the roadmap for the year 2026 and beyond.

Responsibilities

  • Architectural Leadership: Design and implement scalable quantum-algorithmic architectures for our flagship AI systems.
  • Roadmap Strategy: Define the technical roadmap for Project 2026, ensuring alignment with emerging industry standards.
  • Model Optimization: Optimize deep learning models to run efficiently on hybrid classical-quantum hardware.
  • Cross-Functional Collaboration: Work closely with software engineers, data scientists, and physicists to integrate quantum modules into production environments.
  • Mentorship: Guide a team of junior engineers and researchers, fostering a culture of innovation and excellence.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Physics, Electrical Engineering, or a related field with a focus on AI/Quantum.
  • Experience: 5+ years of professional experience in machine learning, deep learning, or quantum computing research.
  • Technical Skills: Proficiency in Python, C++, and CUDA. Experience with quantum SDKs (Qiskit, Cirq) and classical ML frameworks (TensorFlow, PyTorch).
  • Hardware Knowledge: Experience with FPGA design or high-performance computing clusters.
  • Problem Solving: Demonstrated ability to solve complex, novel problems in unstructured environments.

Required Skills

Python C++ TensorFlow PyTorch Quantum Computing Qiskit Cirq Deep Learning Machine Learning FPGA High-Performance Computing

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