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Senior Quantum AI Engineer | Nexus 2026

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Welcome to Nexus 2026. We are a cutting-edge research lab pioneering the next generation of artificial intelligence and quantum computing. As we look toward the future, we are seeking visionary engineers to help us architect the systems that will define the technological landscape of 2026 and beyond.

In this role, you won't just be writing code; you will be defining the fundamental protocols of a smarter, faster, and more efficient world. If you are passionate about solving the hardest problems in computer science and want to leave a lasting legacy in the tech industry, we want to meet you.

Responsibilities

  • Lead R&D: Spearhead the development and deployment of advanced quantum algorithms and neural network architectures.
  • System Architecture: Design scalable, fault-tolerant systems capable of processing petabytes of real-time data.
  • Cross-Functional Collaboration: Work closely with hardware engineers to optimize software for next-gen quantum processors.
  • Model Optimization: Refine existing AI models to improve latency, accuracy, and energy efficiency.
  • Technical Mentorship: Guide a team of junior developers and data scientists in best practices for high-performance computing.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/Quantum Physics.
  • Experience: 5+ years of professional experience in machine learning, deep learning, or quantum computing.
  • Technical Skills: Proficiency in Python, C++, and Rust; experience with frameworks like PyTorch, TensorFlow, or Qiskit.
  • Problem Solving: Demonstrated ability to solve complex, open-ended engineering challenges with innovative solutions.
  • Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ Deep Learning System Architecture Research

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