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Information Technology 🏒 Full Time ⭐️ Verified

Senior Quantum Systems Architect (2026 Roadmap)

OmniFuture Systems
Austin
Estimated Salary
USD 165.000 – USD 225.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

We are building the foundational infrastructure for the year 2026 and beyond. OmniFuture Systems is seeking a visionary Senior Quantum Systems Architect to lead our advanced computing division. You will be responsible for designing the neural architectures that bridge classical computing with next-generation quantum processors, ensuring scalability and stability for our global enterprise clients.

In this pivotal role, you will not just write code; you will architect the future of information processing. We offer a competitive benefits package, remote-first flexibility, and the opportunity to work on projects that redefine the technological landscape.

Responsibilities

  • Design and implement scalable quantum algorithms and hybrid classical-quantum systems.
  • Lead architectural decisions for high-performance computing (HPC) clusters targeting 2026 standards.
  • Collaborate with cross-functional teams to integrate quantum solutions into existing cloud infrastructures.
  • Mentor junior engineers and provide technical guidance on best practices for quantum error correction.
  • Conduct rigorous performance testing and optimization for low-latency network environments.
  • Stay ahead of emerging trends in quantum supremacy and neuromorphic computing.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, or Electrical Engineering.
  • 5+ years of experience in software architecture, with specific focus on distributed systems.
  • Proficiency in Python, C++, and Rust.
  • Deep understanding of quantum mechanics principles and quantum computing libraries (Qiskit, Cirq, or similar).
  • Strong problem-solving skills and ability to work in a fast-paced, innovative environment.

Required Skills

Quantum Computing Distributed Systems Python C++ Rust Cloud Architecture Machine Learning System Design

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