Senior AI and ML Infrastructure Engineer

4 days ago

Durham, North Carolina, United States NVIDIA Full time
About the Role

NVIDIA is seeking a highly skilled AI/ML Infrastructure Engineer to join our team in Santa Clara, CA, USA. As an Engineer, you will have a unique opportunity to enhance productivity for our researchers by implementing improvements throughout the entire stack.

Key Responsibilities
  • Contribute to the design and implementation of advanced AI/ML infrastructure solutions that have a direct impact on the efficiency of our research teams.
  • Work closely with our research teams to comprehend their infrastructure requirements and challenges, translating those observations into actionable enhancements.
  • Design and implement solutions for critical areas such as storage management for datasets and logs, error attribution, and core reliability issues within our large-scale GPU clusters.
  • Continuously monitor and optimize the performance of our AI/ML infrastructure, ensuring high availability, scalability, and efficient resource utilization.
  • Create and deploy automation tools, monitoring solutions, and effective operational strategies to simplify infrastructure management and minimize manual tasks.
  • Help define and enhance important measures of AI researcher productivity, ensuring that our actions are in line with measurable results.
  • Collaborate with diverse teams, including researchers, data engineers, and DevOps professionals, to create a seamless and integrated AI/ML infrastructure ecosystem.
Requirements
  • BS or equivalent experience (MS preferred) in Computer Science or related with 12+yrs of relevant experience.
  • Strong background in software engineering, with experience in building and maintaining large-scale distributed systems, preferably in the context of AI/ML infrastructure.
  • Proficiency in programming languages such as Python, Go, or C++, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure).
  • Hands-on experience with containerization technologies (e.g., Docker, Kubernetes), automation tools (e.g., Ansible, Terraform), and monitoring solutions (e.g., Prometheus, Grafana).
  • Understanding of AI/ML workflows, including data processing, model training, and inference pipelines.
  • Excellent problem-solving skills, with the ability to analyze complex systems, identify bottlenecks, and implement scalable solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively with diverse teams and individuals.
  • Enthusiasm for continual learning and keeping abreast of emerging technologies and effective approaches in the AI/ML infrastructure field.
What We Offer

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most experienced and versatile people in the world working for us and, due to unprecedented growth, our extraordinary engineering teams are growing fast.

We are committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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