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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027



Job Description

Are you ready to engineer the future? Nexus Future Labs is seeking a visionary Senior AI & Quantum Architect to lead our roadmap toward 2026 and beyond. In this pivotal role, you will design the next generation of intelligent systems, bridging the gap between current capabilities and the revolutionary potential of quantum computing.

We are a cutting-edge technology firm pushing the boundaries of what is possible. We are looking for a leader who doesn't just adapt to change but drives it. If you are passionate about building scalable, secure, and ethically sound AI frameworks for the year 2026 and the decades that follow, we want to meet you.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable AI and quantum algorithms to support our 2026 product roadmap.
  • Quantum Integration: Lead the integration of quantum computing concepts into classical machine learning pipelines.
  • Team Leadership: Mentor a high-performance engineering team, fostering a culture of innovation and technical excellence.
  • R&D Strategy: Identify emerging technologies and define technical strategies that align with our long-term business goals.
  • Performance Optimization: Optimize existing systems for latency, throughput, and energy efficiency in cloud environments.
  • Prototyping: Build rapid prototypes of futuristic solutions to validate concepts before full-scale deployment.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Physics, Mathematics, or a related field.
  • Experience: 7+ years of experience in software architecture, with at least 3 years in AI/ML and quantum computing research.
  • Technical Skills: Proficiency in Python, C++, TensorFlow/PyTorch, and quantum SDKs (e.g., Qiskit, Cirq).
  • Cloud Expertise: Deep understanding of cloud architecture (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Problem Solving: Proven ability to solve complex, unstructured problems in high-pressure environments.
  • Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts to diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Python C++ Cloud Architecture Docker Kubernetes TensorFlow PyTorch Systems Engineering

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