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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Future Labs, a pioneer in next-generation artificial intelligence and quantum computing infrastructure. We are not just building software for today; we are architecting the foundational systems for the year 2026 and beyond.

As a Senior AI & Quantum Systems Architect, you will lead the design and implementation of scalable neural networks and quantum algorithms that will define the future of human-machine interaction. You will work in a high-performance environment that demands innovation, precision, and a passion for pushing the boundaries of what is possible.

Why join us?

  • Work on groundbreaking projects that impact millions of users globally.
  • Competitive compensation and equity packages tailored for top-tier talent.
  • Access to cutting-edge hardware and proprietary research libraries.
  • A culture that celebrates experimentation and rapid iteration.

Responsibilities

  • Architect and deploy scalable, high-performance AI models capable of processing complex datasets in real-time.
  • Lead the research and integration of emerging quantum computing paradigms into existing software ecosystems.
  • Design robust system architecture to ensure security, scalability, and fault tolerance for mission-critical applications.
  • Mentor a team of junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Collaborate with cross-functional teams including product managers, ethicists, and researchers to align technical roadmaps with business goals.
  • Optimize model inference speeds and reduce latency to enhance user experience.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Physics, or a related technical field.
  • Minimum of 5 years of experience in designing and deploying large-scale machine learning systems.
  • Deep proficiency in Python, C++, and experience with high-performance computing (HPC) environments.
  • Strong understanding of Deep Learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Familiarity with quantum computing concepts, quantum gates, and quantum circuit design (preferred).
  • Proven track record of leading technical teams and managing complex project lifecycles from conception to deployment.

Required Skills

Python TensorFlow PyTorch C++ System Design Machine Learning Quantum Computing AWS Docker Kubernetes

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