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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Engineer

Apex Innovation Labs
San Francisco
Estimated Salary
USD 175.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the technological trajectory of 2026?

Apex Innovation Labs is seeking a visionary Senior AI & Quantum Systems Engineer to architect the next generation of intelligent computing solutions. In this pivotal role, you will pioneer the integration of generative AI models with emerging quantum hardware, pushing the boundaries of what is computationally possible. You will work in a high-performance environment focused on solving complex problems that define the future of enterprise technology.

Why Join Us?

  • Work on cutting-edge projects that shape the AI landscape.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with premium office amenities in SF.

Key Responsibilities:

Responsibilities

  • Architect and deploy scalable hybrid AI/Quantum systems designed for 2026 infrastructure standards.
  • Optimize neural network models to run efficiently on next-generation quantum processors.
  • Lead the technical roadmap for integrating deep learning with quantum algorithms.
  • Collaborate with cross-functional teams to translate business requirements into advanced technical solutions.
  • Mentor junior engineers and data scientists on best practices in advanced AI and distributed systems.
  • Ensure system security, scalability, and compliance with global data standards.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a strong focus on system architecture.
  • Experience with quantum computing libraries (e.g., Qiskit, Cirq, PennyLane).
  • Proficiency in Python, TensorFlow, PyTorch, and high-performance computing clusters.
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python TensorFlow PyTorch Quantum Computing System Architecture Cloud Computing Deep Learning Machine Learning Kubernetes Docker

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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