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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 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are pioneering the next generation of intelligence. Nexus Future Labs is seeking a visionary Senior AI & Quantum Systems Architect to design the technological frameworks that will define the 2026 landscape. If you thrive at the intersection of machine learning, quantum computing, and scalable software architecture, we want to hear from you.

As a key member of our elite engineering team, you will be responsible for architecting robust systems that push the boundaries of what is possible. You will work alongside world-class researchers and engineers to deploy cutting-edge solutions that solve complex, real-world problems.

Responsibilities

  • Design and implement scalable AI architectures utilizing next-generation machine learning frameworks and quantum computing principles.
  • Lead the research and development of novel algorithms capable of processing massive datasets in real-time.
  • Collaborate with cross-functional teams to define product roadmaps and technical strategies for 2026 and beyond.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Optimize existing systems for performance, latency, and energy efficiency.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Artificial Intelligence.
  • 10+ years of professional experience in software engineering, specifically in AI/ML or high-performance computing.
  • Deep proficiency in Python, C++, and Rust.
  • Experience with quantum computing libraries (Qiskit, Cirq) or familiarity with quantum error correction is highly desirable.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization technologies.

Required Skills

Python C++ Machine Learning Quantum Computing Distributed Systems Cloud Architecture AWS GCP TensorFlow PyTorch

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