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Future Systems Architect | AI & Quantum Integration | San Francisco

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

Are you ready to shape the future of computing?

Nexus Future Labs is seeking a visionary Future Systems Architect to spearhead the integration of next-gen AI and quantum computing paradigms. In this role, you will define the technical architecture that bridges the gap between theoretical breakthroughs and scalable production environments.

As we look toward 2026 and beyond, we are building a legacy. You will lead a team of elite engineers, architect systems that think faster than light, and ensure our platforms remain at the bleeding edge of technological evolution.

Why Join Us?

  • Work on projects that will define the next decade of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium office amenities in downtown SF.

If you are passionate about pushing boundaries and constructing the digital infrastructure of tomorrow, we want to hear from you.

Responsibilities

  • Architecting the Future: Design and oversee the implementation of complex AI and quantum computing systems tailored for high-performance computing environments.
  • Technical Leadership: Mentor senior engineers and define technical roadmaps to ensure alignment with the company's 2026 vision.
  • System Optimization: Analyze existing infrastructure to identify bottlenecks and deploy scalable solutions for massive data throughput.
  • Innovation Integration: Evaluate emerging technologies (e.g., Neuromorphic chips, edge AI) and integrate them into our core product stack.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate abstract concepts into concrete, deployable software.

Qualifications

  • Experience: 7+ years of experience in software architecture, with a specific focus on Artificial Intelligence, Machine Learning, or Quantum Computing.
  • Education: Master’s degree in Computer Science, Mathematics, or a related field.
  • Programming: Proficiency in Python, Rust, or C++ with deep understanding of memory management and concurrency.
  • Cloud Mastery: Expert-level experience with AWS, GCP, or Azure, specifically in serverless and distributed systems.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems with elegant, scalable code solutions.

Required Skills

Python Machine Learning System Architecture Cloud Computing Quantum Computing Rust C++ AWS GCP

Ready to Take This Challenge?

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

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