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Quantum AI Research Engineer

Apex Future Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence

Apex Future Systems is pioneering the next generation of computational power. We are seeking a visionary Quantum AI Research Engineer to lead the development of algorithms that bridge the gap between classical machine learning and quantum supremacy. If you are passionate about the possibilities of 2026 and beyond, we want to meet you.

Why Join Us?

β€’ Work on cutting-edge technology that will define the era of Quantum Computing.
β€’ Competitive equity and benefits package.
β€’ Flexible remote-first culture with hubs in Austin, TX.

Responsibilities

  • Design and implement quantum algorithms optimized for near-term quantum hardware (NISQ devices).
  • Bridge the gap between classical AI/ML architectures and quantum computing paradigms.
  • Collaborate with hardware engineers to optimize quantum processors for AI workloads.
  • Research and publish findings in top-tier quantum computing and artificial intelligence conferences.
  • Mentor junior researchers and contribute to the technical roadmap for 2026.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
  • 3+ years of experience in machine learning or artificial intelligence.
  • Proficiency in quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
  • Strong programming skills in Python, C++, and CUDA.
  • Experience with classical optimization libraries (e.g., PyTorch, TensorFlow).
  • Ability to translate complex theoretical concepts into practical, scalable solutions.

Required Skills

Quantum Computing Machine Learning Python C++ PyTorch Qiskit System Design Research AI

Ready to Take This Challenge?

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