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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect | San Francisco, CA

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Are you ready to architect the technology landscape of 2026? Nexus Horizon Systems is seeking a visionary Senior AI & Quantum Architect to lead our next-gen R&D initiatives. You will be at the forefront of developing autonomous systems and quantum-ready neural networks that redefine industry standards.


In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our platforms are scalable, secure, and future-proof. Join a team of elite engineers dedicated to solving humanity's most complex challenges through advanced computation.

Responsibilities

  • Lead R&D Strategy: Define and execute the technical roadmap for next-generation AI and quantum computing integration.
  • System Architecture: Design scalable, fault-tolerant distributed systems capable of handling petabyte-scale data streams.
  • Model Optimization: Develop and deploy state-of-the-art machine learning models with a focus on edge computing and real-time inference.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, conducting code reviews and fostering a culture of innovation.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable engineering solutions.
  • Future-Proofing: Evaluate emerging technologies (e.g., neuromorphic computing, advanced LLMs) to determine their viability for our product suite.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: 5+ years of professional experience in software engineering, with at least 3 years leading AI/ML architecture teams.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and quantum computing frameworks (Qiskit, Cirq, or similar).
  • Cloud Mastery: Proficiency in deploying solutions on AWS, GCP, or Azure using containerization (Docker/Kubernetes).
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative engineering solutions.
  • Communication: Excellent verbal and written communication skills, capable of explaining complex concepts to non-technical audiences.

Required Skills

Python Machine Learning Quantum Computing TensorFlow PyTorch AWS Kubernetes Docker Distributed Systems Neural Networks Artificial Intelligence Cloud Architecture System Design

Ready to Take This Challenge?

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