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Information Technology 🏒 Full Time ⭐️ Verified

AI & Quantum Computing Lead | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 280.000 – USD 380.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the technological landscape of 2026 and beyond? Nexus Future Systems is seeking a visionary AI & Quantum Computing Lead to pioneer the next generation of adaptive intelligence. We are not just building software; we are engineering the neural fabric of the future.

In this pivotal role, you will spearhead the development of hybrid quantum-classical algorithms designed for edge computing environments. You will lead a high-performance team in pushing the boundaries of Generative AI 2.0 and neuromorphic computing, ensuring our solutions remain at the cutting edge of the industry.

Join us in defining the era of intelligent infrastructure.

Responsibilities

  • Design and deploy scalable AI models optimized for neuromorphic hardware and quantum processors.
  • Lead a team of elite engineers in researching and implementing Generative AI 2.0 frameworks for predictive analytics.
  • Bridge the gap between theoretical quantum algorithms and practical, scalable cloud infrastructure.
  • Establish best practices for ethical AI, ensuring transparency and bias mitigation in autonomous systems.
  • Collaborate with cross-functional stakeholders to translate complex technical requirements into product roadmaps.
  • Mentor junior engineers and foster a culture of continuous innovation and technical excellence.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field.
  • 10+ years of experience in machine learning architecture, with at least 5 years in a leadership capacity.
  • Deep expertise in Python, C++, and quantum SDKs (e.g., Qiskit, Cirq, PennyLane).
  • Strong understanding of large language models (LLMs), transformer architectures, and fine-tuning methodologies.
  • Experience with cloud platforms (AWS, Azure, or GCP) specifically for high-performance computing (HPC) workloads.
  • Demonstrated ability to thrive in fast-paced, agile environments and drive technical vision.

Required Skills

Quantum Computing Machine Learning Python TensorFlow PyTorch Quantum Algorithms Cloud Architecture AI Leadership C++

Ready to Take This Challenge?

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