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Senior AI & Quantum Integration Engineer (2026 Vision)

Apex Future Systems
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Are you ready to architect the digital landscape of 2026? Apex Future Systems is seeking a visionary Senior AI & Quantum Integration Engineer to lead the next generation of intelligent infrastructure. We are building the foundational layers for a hyper-connected, AI-driven future.

As a key member of our elite R&D division, you will bridge the gap between classical machine learning and next-gen quantum computing architectures. This is a rare opportunity to define the technical standards of tomorrow.

Why Join Us?

  • Work on groundbreaking projects that define the roadmap for 2026 and beyond.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art office amenities.

Responsibilities

  • Architect and deploy scalable machine learning models optimized for next-gen hardware acceleration.
  • Integrate quantum computing primitives into classical neural network workflows.
  • Define technical standards for data integrity, algorithmic efficiency, and system resilience.
  • Collaborate with cross-functional teams to translate abstract scientific concepts into production-ready software.
  • Lead technical strategy for autonomous system evolution and predictive modeling.
  • Conduct rigorous code reviews and mentor junior engineers in advanced AI techniques.

Qualifications

  • Master’s degree in Computer Science, Physics, or a related technical field (PhD preferred).
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in high-scale production environments.
  • Deep proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Experience with quantum simulation frameworks (e.g., Qiskit, Cirq, or Forest Project).
  • Proven track record in leading engineering teams through complex architectural transitions.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow Quantum Computing C++ System Architecture AI/ML CUDA Kubernetes AWS

Ready to Take This Challenge?

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

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