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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI & Quantum Systems Architect to lead the engineering team in designing the infrastructure for our flagship 2026 product roadmap. At Quantum Horizon Labs, we are at the intersection of artificial intelligence, quantum computing, and sustainable energy. This is a rare opportunity to shape the technological landscape of the future.

As a key member of our elite technical team, you will be responsible for architecting scalable, high-performance systems that push the boundaries of what is currently possible. You will work in a dynamic environment that values innovation, autonomy, and technical excellence.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of complex software architectures for the 2026 product suite, ensuring scalability, security, and high availability.
  • AI Integration: Spearhead the integration of advanced Machine Learning models and Neural Network layers into our core processing engines.
  • Technical Strategy: Define technical roadmaps and mentor junior engineers, fostering a culture of continuous learning and technical rigor.
  • Performance Optimization: Identify bottlenecks in legacy systems and refactor them for optimal throughput and efficiency.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate business requirements into robust technical solutions.

Qualifications

  • Experience: 7+ years of experience in software engineering, with at least 3 years in a senior or lead architectural role.
  • Technical Stack: Proficiency in Python, Java, or C++ with deep experience in AI frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP).
  • Education: Bachelor’s degree in Computer Science, Physics, or a related field; Master’s degree is a plus.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems in high-pressure environments.
  • Communication: Excellent verbal and written communication skills, capable of articulating technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Software Architecture Python Cloud Computing System Design Leadership

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