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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Quantum Readiness Engineer

Nexus Future Systems
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Architecture of Tomorrow

We are seeking a visionary Senior AI & Quantum Readiness Engineer to lead the infrastructure migration for the year 2026. As pioneers in next-gen computing, we need a technical leader who can bridge the gap between current AI architectures and future-proof quantum-ready systems. If you thrive on complexity and are passionate about building scalable, resilient infrastructures for the next decade, we want to meet you.

Why Join Nexus Future Systems?

  • Impactful Work: Directly influence the core infrastructure that powers the next generation of enterprise AI.
  • Future-First Culture: We are not just building for today; we are architecting for 2026 and beyond.
  • Competitive Compensation: Top-tier salary plus equity package.

Responsibilities

  • Design and implement scalable microservices architectures capable of supporting quantum-classical hybrid workloads.
  • Lead the migration strategy from traditional cloud infrastructures to quantum-enhanced environments.
  • Optimize AI model inference pipelines to reduce latency and maximize throughput.
  • Collaborate with data scientists and quantum researchers to define hardware requirements.
  • Ensure 99.99% availability and robust disaster recovery protocols for critical systems.
  • Mentor junior engineers and establish coding standards for distributed systems.

Qualifications

  • 10+ years of experience in software engineering, with a focus on distributed systems and cloud architecture.
  • Deep expertise in Python, Go, or Rust, with a preference for functional programming paradigms.
  • Hands-on experience with Kubernetes, Docker, and AWS/Azure/GCP services.
  • Familiarity with Quantum Computing frameworks (Qiskit, Cirq) or a strong desire to learn and implement them.
  • Experience with Large Language Models (LLMs) and MLOps pipelines.
  • Strong background in cybersecurity, specifically zero-trust architectures.

Required Skills

Python Go Rust Kubernetes Docker AWS Quantum Computing MLOps Distributed Systems Cloud Architecture AI Infrastructure

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