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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Infrastructure Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Are you ready to build the infrastructure of the future? Nexus Future Systems is seeking a visionary Lead AI & Quantum Infrastructure Engineer to spearhead our next-generation projects.

In this role, you will bridge the gap between cutting-edge artificial intelligence and quantum computing architectures. We are looking for a technical leader who isn't just adapting to the future, but is actively defining it. If you thrive in a fast-paced, high-impact environment and want to solve problems that will impact the world for decades to come, we want to meet you.

Why Join Us?

  • Work on the bleeding edge of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture.
  • Access to state-of-the-art computing resources.

Responsibilities

  • Architect and deploy scalable AI models on hybrid quantum-classical cloud environments.
  • Lead the research and integration of emerging technologies for the 2026 roadmap.
  • Optimize neural network architectures for low-latency, high-throughput data processing.
  • Collaborate with cross-functional teams to translate complex AI concepts into production-ready solutions.
  • Mentor senior engineers and foster a culture of innovation and technical excellence.

Qualifications

  • Master’s degree or PhD in Computer Science, Physics, or a related field (or equivalent experience).
  • 10+ years of experience in software engineering, with a focus on AI/ML and distributed systems.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Experience with quantum computing frameworks (Qiskit, Cirq) or strong interest in post-quantum cryptography.
  • Strong leadership skills with a proven track record of managing technical teams.

Required Skills

Python TensorFlow PyTorch Quantum Computing Qiskit AWS Kubernetes Machine Learning Deep Learning System Architecture

Ready to Take This Challenge?

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

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