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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI & Quantum Architect

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

Job Description

Are you ready to architect the technological landscape of 2026? Nexus Future Labs is at the forefront of innovation, pioneering the next generation of intelligent systems. We are seeking a visionary Lead AI & Quantum Architect to lead our R&D division, bridging the gap between artificial intelligence and quantum computing. In this pivotal role, you will define the core architecture for our flagship products, ensuring scalability, efficiency, and ethical AI deployment. Join us in shaping the future.


Why Join Us?

  • Work on cutting-edge projects that define the 2026 technology roadmap.
  • Competitive equity package and top-tier healthcare.
  • Flexible remote-first culture with a state-of-the-art office in San Francisco.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable AI and quantum computing systems, ensuring high availability and performance.
  • R&D Strategy: Define the technical vision for 2026, researching emerging technologies like neuromorphic computing and quantum neural networks.
  • System Optimization: Improve data throughput and processing speeds using advanced algorithms and hardware acceleration.
  • Talent Development: Mentor a team of top-tier engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate complex technical requirements into user-centric solutions.
  • Compliance & Ethics: Ensure all AI systems adhere to global data privacy standards and ethical AI guidelines.

Qualifications

  • Education: PhD in Computer Science, Physics, or a related field with a focus on AI or Quantum Mechanics.
  • Experience: 8+ years of experience in software architecture, with at least 4 years in leading AI/ML teams.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Qiskit, Cirq).
  • Problem Solving: Proven track record of solving complex, large-scale engineering problems.
  • Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders.
  • Vision: A forward-thinking mindset with a passion for the future of technology.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Python Cloud Architecture System Design Leadership Neural Networks

Ready to Take This Challenge?

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