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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Engineer (Project 2026)

Future Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the technology landscape of the future? We are seeking a visionary Senior AI & Quantum Engineer to lead our Project 2026, a revolutionary initiative aimed at integrating generative AI with next-gen quantum computing architectures. In this pivotal role, you will architect scalable systems that bridge the gap between theoretical physics and practical application. You will work with a world-class team to solve complex problems that will define the next decade of technology.

Why Join Us?

At Future Systems Inc., we are not just building software; we are building the infrastructure of tomorrow. You will have the autonomy to experiment with cutting-edge technologies, the resources to push boundaries, and the opportunity to mentor the next generation of engineers. We offer a competitive benefits package, flexible remote options, and a culture that prioritizes innovation and impact.

Responsibilities

  • Architect and deploy high-performance machine learning models tailored for quantum-enhanced computing environments.
  • Lead the research and implementation of Agentic AI frameworks designed to automate complex decision-making processes.
  • Collaborate with cross-functional teams to integrate AI solutions into our core product ecosystem.
  • Optimize algorithms for speed, accuracy, and energy efficiency in large-scale distributed systems.
  • Stay ahead of the curve by analyzing emerging tech trends and prototyping future-ready solutions.
  • Conduct rigorous testing and validation to ensure system reliability and scalability.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field, with a focus on AI/ML or Quantum Mechanics.
  • Proven experience (5+ years) in designing and deploying large-scale machine learning systems.
  • Deep proficiency in Python, PyTorch, TensorFlow, and quantum computing libraries such as Qiskit or Cirq.
  • Strong understanding of Large Language Models (LLMs), Transformers, and neural network architectures.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.
  • Demonstrated ability to thrive in fast-paced, agile environments.

Required Skills

Python PyTorch TensorFlow Quantum Computing AI Machine Learning NLP System Architecture Quantum Mechanics Cloud Computing Agile

Ready to Take This Challenge?

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