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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Engineer

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join the Future of AI in 2026

Nebula Dynamics is pioneering the next era of artificial intelligence. We are seeking a visionary Senior AI Infrastructure Engineer to architect the scalable systems that will power our breakthrough models for the year 2026 and beyond.

In this role, you will be at the intersection of software engineering and machine learning. You won't just manage servers; you will build the nervous system of our AI products, ensuring that our models are fast, secure, and accessible globally.

Our culture is built on innovation, autonomy, and high-impact engineering. If you are ready to shape the technology stack of tomorrow, we want to hear from you.

Responsibilities

  • Design and maintain high-performance ML infrastructure using Kubernetes and containerization technologies.
  • Optimize deep learning model inference latency and throughput for real-time applications.
  • Implement robust CI/CD pipelines for automated model training and deployment.
  • Collaborate with research teams to translate experimental AI models into production-grade software.
  • Monitor system health and implement strategies for cost optimization in cloud environments.
  • Ensure data security and compliance with industry standards across all AI workloads.

Qualifications

  • 5+ years of experience in backend engineering, MLOps, or DevOps.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Expertise in cloud platforms (AWS, GCP, or Azure) and managed services.
  • Experience with distributed systems, microservices architecture, and message queues (Kafka/RabbitMQ).
  • Bachelor’s degree in Computer Science, Engineering, or a related field.

Required Skills

Python PyTorch Kubernetes AWS MLOps Docker Machine Learning System Design

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