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Lead AI & Quantum Readiness Engineer (2026)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

We are building the infrastructure for the next era of human evolution. Nexus Future Systems is seeking a visionary Lead AI & Quantum Readiness Engineer to spearhead our research and deployment strategies leading up to 2026. You will be at the forefront of integrating neural networks with quantum computing paradigms, ensuring our solutions are future-proof and scalable.

In this role, you will define the technical roadmap for our next-generation AI products, bridging the gap between theoretical physics and practical software engineering. If you are passionate about solving the world's most complex problems and shaping the technological landscape of 2026, we want to hear from you.

Responsibilities

  • Architect Quantum-AI Solutions: Design and prototype hybrid systems that leverage quantum computing for accelerated machine learning tasks.
  • Strategic Roadmapping: Develop a comprehensive technology roadmap for AI infrastructure, ensuring alignment with 2026 market demands and regulatory standards.
  • Lead R&D Initiatives: Oversee a team of researchers and engineers focused on next-gen algorithms and neuromorphic hardware integration.
  • System Scalability: Engineer robust frameworks that scale efficiently from prototype to mass production environments.
  • Stakeholder Collaboration: Translate complex technical concepts into strategic value propositions for executive stakeholders and investors.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Mechanics or Artificial Intelligence.
  • Experience: 8+ years of experience in software engineering, with at least 3 years specifically in AI/ML architecture or quantum computing research.
  • Technical Skills: Proficiency in Python, C++, TensorFlow, PyTorch, and experience with quantum simulation frameworks (e.g., Qiskit, Cirq).
  • Leadership: Proven track record of leading high-performing technical teams and managing large-scale R&D projects.
  • Innovation: Demonstrated ability to think outside the box and pioneer new technologies in a rapidly evolving landscape.

Required Skills

Quantum Computing Machine Learning Artificial Intelligence Python C++ TensorFlow PyTorch System Architecture R&D Leadership

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