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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI & Quantum Research Lead

Nexus Horizons Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are at the precipice of a technological singularity. Nexus Horizons is seeking a visionary 2026 AI & Quantum Architect to define the infrastructure of tomorrow. If you are passionate about pushing the boundaries of what is possible in post-silicon computing and next-generation artificial intelligence, this is your chance to lead the charge.

In this pivotal role, you will bridge the gap between classical deep learning and emerging quantum paradigms, building systems that are not only scalable but resilient in the face of unprecedented computational challenges.

Responsibilities

  • Architect Future-Proof AI Systems: Design and implement scalable neural architectures optimized for the 2026 computing landscape, integrating hybrid classical-quantum workflows.
  • Quantum Circuit Optimization: Develop algorithms that maximize quantum processor efficiency and reduce error rates for real-time inference tasks.
  • Research Leadership: Lead a high-performance team of research scientists and engineers in exploring novel applications of generative AI and quantum entanglement.
  • Infrastructure Deployment: Oversee the deployment of AI models on edge devices and distributed quantum cloud environments, ensuring low-latency processing.
  • Strategic Innovation: Identify and prototype cutting-edge technologies that will define the roadmap for the company's next generation of products.

Qualifications

  • Advanced Education: Ph.D. in Computer Science, Computational Physics, Mathematics, or a related field with a focus on AI/Quantum.
  • Technical Proficiency: Deep expertise in Python, C++, and frameworks such as TensorFlow, PyTorch, and Qiskit/Cirq.
  • Experience: 5+ years of experience in senior research roles within top-tier tech firms or research institutions.
  • System Design: Strong background in distributed systems, high-performance computing (HPC), and cloud infrastructure (AWS, Azure, GCP).
  • Problem Solving: Demonstrated ability to tackle complex, ambiguous problems with innovative, data-driven solutions.

Required Skills

Python C++ Quantum Computing AI/ML TensorFlow PyTorch Qiskit Cirq Distributed Systems Machine Learning Cloud Computing

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