Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect - 2026 Roadmap

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

Job Description

Are you ready to architect the technological landscape of tomorrow? Nexus Future Labs is seeking a visionary Senior AI & Quantum Architect to define our infrastructure for the 2026 era. In this pivotal role, you will bridge the gap between generative AI, advanced machine learning, and next-generation quantum computing integration. We are looking for a thought leader who can design scalable, secure, and futuristic systems that will power the enterprise of the future.


Why Join Us?
We are at the forefront of innovation, building the foundational technologies that will define the next decade. You will work with a world-class team of researchers and engineers, receiving top-tier compensation and the autonomy to drive technical excellence.

Responsibilities

  • Design and lead the architectural evolution of our core AI infrastructure, specifically focusing on 2026 scalability targets.
  • Integrate quantum computing primitives into classical machine learning pipelines to optimize processing power.
  • Oversee the deployment of Large Language Models (LLMs) and ensure robustness in high-throughput environments.
  • Mentor senior and junior engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with product teams to translate futuristic concepts into viable technical roadmaps.
  • Implement rigorous security protocols for AI data governance and model protection.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related field (or equivalent practical experience).
  • 7+ years of experience in software architecture, with a focus on AI/ML systems.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Familiarity with quantum computing concepts (Qiskit, Cirq) or experience in hybrid quantum-classical algorithms.
  • Strong grasp of cloud-native architectures (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, experimental environment.

Required Skills

Python Machine Learning Deep Learning Quantum Computing System Architecture Docker Kubernetes AWS GCP TensorFlow PyTorch Rust

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All