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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI & Quantum Readiness Engineer

Apex Future Systems
San Francisco
Estimated Salary
USD 145.000 – USD 195.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

The Opportunity: Apex Future Systems is pioneering the next generation of digital infrastructure. We are seeking a visionary 2026 AI & Quantum Readiness Engineer to lead our research and deployment of next-gen algorithms. If you are passionate about the technological horizon of 2026 and possess the skills to bridge current AI capabilities with future scalability, we want to hear from you.


Why Join Us? You will be at the forefront of defining the tech stack for the future, working with state-of-the-art hardware and cutting-edge software solutions. We offer a competitive package, remote-first flexibility, and the opportunity to shape the industry.


Key Responsibilities:

  • Design and architect scalable AI systems capable of handling high-frequency data streams and future quantum computing integration.
  • Lead the migration of legacy infrastructure to 2026-ready cloud-native environments, ensuring zero-downtime transitions.
  • Collaborate with data scientists to develop predictive models that forecast market trends and system bottlenecks.
  • Implement rigorous security protocols and ethical AI frameworks to ensure responsible deployment.
  • Conduct technical feasibility studies for emerging technologies to prepare our roadmap for the next decade.

Responsibilities

  • Architecting scalable systems for AI and quantum integration.
  • Leading cloud migration strategies for future readiness.
  • Developing predictive data models.
  • Enforcing security and ethical AI standards.
  • Researching emerging tech for long-term roadmaps.

Qualifications

  • 5+ years of experience in software engineering, specifically within AI or high-performance computing.
  • Deep understanding of Python, TensorFlow, and cloud infrastructure (AWS/Azure/GCP).
  • Experience with quantum computing concepts or similar advanced computing paradigms is a plus.
  • Strong proficiency in system architecture, microservices, and containerization (Kubernetes/Docker).
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Required Skills

Python TensorFlow AWS Kubernetes Quantum Computing System Architecture AI Machine Learning

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