Job Description
We are seeking a visionary AI & Quantum Infrastructure Engineer to architect the foundational systems for the next generation of computing. Join Nexus Horizon Systems in San Francisco and help define the technological landscape of 2026 and beyond.
In this pivotal role, you will bridge the gap between theoretical artificial intelligence and practical, scalable infrastructure. You will be responsible for designing resilient, high-performance systems that power autonomous agents and neural networks. If you are passionate about the future of tech and want to work on cutting-edge projects that push the boundaries of what is possible today, we want to hear from you.
Responsibilities
- Design and deploy scalable AI infrastructure pipelines using next-gen cloud architectures.
- Optimize quantum computing protocols for integration with classical machine learning models.
- Develop real-time data processing systems capable of handling exabyte-scale datasets.
- Collaborate with cross-functional teams to define the technical roadmap for 2026 and beyond.
- Implement robust security protocols for autonomous AI agents.
- Mentor junior engineers and contribute to architectural best practices.
Qualifications
- Master’s or PhD in Computer Science, Physics, or a related technical field.
- Minimum of 5 years of professional experience in AI/ML engineering or systems architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Qiskit, Cirq).
- Proven experience with Kubernetes, Docker, and large-scale distributed systems.
- Strong understanding of network protocols, cloud security, and edge computing.
- Excellent problem-solving skills and ability to communicate complex technical concepts.