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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
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI & Quantum Systems Architect to pioneer the technological landscape of 2026 and beyond. If you are passionate about solving humanity's most complex challenges through advanced computing, this is your opportunity to lead cutting-edge research.

At Nexus Future Labs, we are not just building for tomorrow; we are architecting the future. You will be at the forefront of integrating Artificial Intelligence with Quantum Computing to develop systems that redefine efficiency and intelligence.

Why join us?

  • Work on projects that directly influence the trajectory of global technology.
  • Competitive compensation package with performance bonuses.
  • Flexible remote-first policy with access to state-of-the-art research facilities.

Responsibilities

  • Architect and design scalable, fault-tolerant AI systems capable of processing petabytes of real-time data.
  • Lead research and development initiatives into quantum machine learning algorithms and their practical applications.
  • Collaborate with cross-functional teams to translate theoretical breakthroughs into production-ready software.
  • Mentor junior engineers and conduct technical workshops on advanced AI methodologies.
  • Optimize neural network architectures for high-performance edge computing environments.
  • Establish and enforce best practices for data security, ethics in AI, and code quality.

Qualifications

  • Ph.D. in Computer Science, Physics, Mathematics, or a related field with a focus on AI or Quantum Mechanics.
  • 10+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML or high-performance computing.
  • Deep proficiency in Python, C++, and Rust.
  • Experience with quantum computing frameworks (e.g., Qiskit, Cirq) is highly preferred.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of leading engineering teams through complex technical challenges.

Required Skills

Python TensorFlow Quantum Computing C++ Machine Learning Docker Kubernetes AWS Distributed Systems System Architecture

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