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Next-Gen AI Systems Architect | 2026 Vision Team

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

Job Description

Shape the Future of Technology. Nexus Future Labs is pioneering the architecture for the post-AGI era. We are seeking a visionary Next-Gen AI Systems Architect to lead the design of scalable, ethical, and quantum-ready artificial intelligence frameworks.

As a member of our 2026 Vision Team, you won't just write code; you will define the standards for how machines think, learn, and interact with the world. If you are passionate about the intersection of neural networks, quantum computing, and human-centric design, this is your calling.

Why Join Us?

  • Work on cutting-edge research that will define the industry in 2026.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with state-of-the-art headquarters in San Francisco.

Responsibilities

  • Architect Next-Gen Systems: Design scalable, fault-tolerant architectures for Large Language Models (LLMs) and emerging AI agents.
  • R&D Leadership: Spearhead research into Quantum-AI integration and neuromorphic computing paradigms.
  • Code Optimization: Lead initiatives to reduce inference latency and improve energy efficiency in AI models.
  • Ethical Frameworks: Establish guidelines for AI safety, bias mitigation, and transparency in automated decision-making.
  • Team Mentorship: Mentor senior engineers and data scientists in advanced machine learning techniques.
  • Stakeholder Communication: Translate complex technical concepts into compelling narratives for investors and partners.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field.
  • Experience: 8+ years of experience in software architecture, with at least 4 years specifically in AI/ML systems design.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Future-Proofing: Familiarity with Quantum Computing concepts (Qiskit, Cirq) and their application to classical AI problems.
  • Problem Solving: Proven track record of solving complex, ambiguous problems in high-scale environments.
  • Soft Skills: Exceptional leadership skills and the ability to drive innovation in a fast-paced, experimental environment.

Required Skills

Artificial Intelligence Machine Learning System Architecture Quantum Computing Python Deep Learning Distributed Systems Leadership R&D

Ready to Take This Challenge?

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

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