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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to shape the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Architect to spearhead our next-generation infrastructure projects.

We are not just building software; we are architecting the future of computation. In this role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms, delivering solutions that are not just scalable, but revolutionary.

Why Join Us?

  • Future-Proof Your Career: Work at the forefront of the industry where hardware meets software.
  • Competitive Compensation: Base salary of $180k-$250k plus performance bonuses.
  • Equity Package: Significant stake in the company's success.

Our Mission

We are dedicated to developing autonomous systems that define the 2026 tech stack. You will be working with a team of elite engineers to push the boundaries of what is possible in AI, Deep Learning, and Quantum Supremacy.

Responsibilities

  • Design and implement scalable deep learning models tailored for next-gen quantum processors.
  • Lead architecture reviews for high-impact AI initiatives and mentor junior engineers.
  • Optimize algorithms for latency and throughput in distributed systems.
  • Collaborate with cross-functional teams to define product roadmaps for the 2026 era.
  • Stay abreast of cutting-edge research in Generative AI, Neural Networks, and Quantum Supremacy.
  • Conduct technical due diligence on emerging technologies and tools.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering.
  • Proficiency in Python, C++, and CUDA programming.
  • Strong understanding of quantum computing frameworks (Qiskit, Cirq).
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Demonstrated ability to translate complex research into production-grade code.

Required Skills

Python Machine Learning Quantum Computing Deep Learning CUDA Docker Kubernetes AWS C++ AI Architecture

Ready to Take This Challenge?

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

Apply Now

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