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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI & Quantum Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Future Systems is seeking a visionary 2026 AI & Quantum Engineer to lead our next-generation infrastructure initiatives. In this pivotal role, you will bridge the gap between current deep learning capabilities and the quantum computing paradigms of tomorrow. We are looking for a technical leader who thrives in ambiguity and is driven by the challenge of building systems that redefine the technological landscape.

Why Join Us?
Work on projects that have a tangible impact on the future of computing. We offer competitive equity, a top-tier tech stack, and an environment that fosters radical innovation.

Responsibilities

  • Design and implement scalable AI infrastructure optimized for post-quantum cryptography standards.
  • Lead the development of next-gen neural networks and large language models (LLMs).
  • Collaborate with data scientists to translate theoretical research into production-ready code.
  • Oversee the migration of legacy systems to decentralized, quantum-resistant architectures.
  • Define technical roadmaps for AI integration in future product releases.
  • Conduct code reviews and mentor junior engineers to maintain high technical standards.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in software engineering, machine learning, or cloud architecture.
  • Proficiency in Python, C++, and TensorFlow or PyTorch frameworks.
  • Strong understanding of distributed systems, microservices, and containerization (Docker/K8s).
  • Experience with cloud platforms (AWS, GCP, or Azure) and edge computing.
  • Excellent communication skills and the ability to explain complex technical concepts to diverse stakeholders.

Required Skills

Python Machine Learning Deep Learning Cloud Computing Distributed Systems Docker Kubernetes AWS C++ PyTorch

Ready to Take This Challenge?

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