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Senior AI & Quantum Architect - Project 2026

Nexus Horizon Labs
San Francisco, CA
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on the cusp of a technological renaissance. Nexus Horizon Labs is looking for a visionary Senior AI & Quantum Architect to lead the development of Project 2026, our next-generation generative AI framework designed to revolutionize data processing and cognitive computing in the year 2026 and beyond.

In this pivotal role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms. You will architect scalable neural networks, optimize deep learning models for next-gen hardware, and define the technical roadmap for our most ambitious R&D initiative yet.

If you are passionate about the future of intelligence and want to build the infrastructure for tomorrow, we want to hear from you.

Responsibilities

  • Architect and implement scalable neural network models optimized for high-dimensional data and hybrid computing environments.
  • Integrate quantum computing libraries (e.g., Qiskit, Cirq) with classical ML pipelines to explore new computational frontiers.
  • Lead a high-performance team of data scientists and engineers in breaking ground on novel AI algorithms.
  • Optimize model performance for extreme latency and throughput requirements in cloud-native infrastructures.
  • Collaborate with cross-functional teams—including product, security, and hardware engineering—to define technical roadmaps.
  • Stay ahead of industry trends in AI, quantum mechanics, and neuromorphic computing.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering with deep learning frameworks (TensorFlow, PyTorch, JAX).
  • Experience with quantum computing hardware, simulators, or quantum algorithm development.
  • Strong proficiency in Python, C++, and distributed systems.
  • Track record of delivering production-grade machine learning solutions that have a measurable impact.
  • Exceptional problem-solving skills and the ability to work in a fast-paced, ambiguous environment.

Required Skills

Python TensorFlow PyTorch Quantum Computing C++ AWS Kubernetes Distributed Systems Neural Networks Machine Learning

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