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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

Nexus Future Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

We are seeking a visionary Senior AI & Quantum Systems Architect to lead our R&D initiatives for the year 2026. In this pivotal role, you will design and deploy next-generation artificial intelligence systems that integrate seamlessly with emerging quantum computing paradigms. You will be responsible for architecting scalable, future-proof solutions that address complex global challenges while defining the technical roadmap for our flagship products.

Why Join Us?

  • Future-Ready Environment: Work on cutting-edge projects that define the technology landscape of 2026 and beyond.
  • Competitive Compensation: Top-tier salary structure with performance-based bonuses.
  • Flexible Culture: Supportive remote-first culture with generous PTO and wellness stipends.

Responsibilities

  • Architectural Leadership: Design end-to-end AI systems and quantum-ready infrastructure for enterprise-scale applications.
  • Trend Analysis: Monitor and analyze emerging technologies (AI 2026, Neural Networks, Quantum Algorithms) to define technical roadmaps.
  • Team Mentorship: Guide junior engineers and data scientists in best practices for scalable machine learning models and code review.
  • Performance Optimization: Optimize model latency and throughput using advanced hardware acceleration and edge computing.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate business requirements into technical blueprints.
  • Security & Compliance: Ensure all systems adhere to the highest standards of data security and ethical AI practices.

Qualifications

  • Education: Master’s degree in Computer Science, Physics, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in AI/ML architecture, system design, and large-scale software engineering.
  • Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP/Azure).
  • Future Tech: Familiarity with quantum computing concepts, edge computing, or reinforcement learning is a major plus.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems with creative technical solutions.
  • Communication: Excellent verbal and written communication skills for technical presentations and documentation.

Required Skills

Python TensorFlow System Architecture Quantum Computing Machine Learning Cloud Computing Leadership Data Structures Algorithms

Ready to Take This Challenge?

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