Lead Software Engineer, Cloud Infrastructure

2 weeks ago

Santa Clara, California, United States NVIDIA Full time

NVIDIA is seeking talented engineers to enhance its AI Infrastructure. We are looking for individuals with a robust programming foundation, profound knowledge of distributed systems, and a strong grasp of software testing and deployment methodologies. Excellent communication and organizational skills are essential. We value innovative thinkers who can contribute fresh ideas while demonstrating a strong execution focus. You will be continuously challenged, fostering personal and professional growth. Collaborating with fellow engineers, you will play a pivotal role in advancing NVIDIA's capabilities to develop and implement leading infrastructure solutions for a wide array of AI-driven applications that impact core data science.

Your Responsibilities:

  • Design and architect a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across various cloud providers.
  • Implement monitoring and health management features that ensure industry-leading reliability, availability, and scalability of GPU assets. By leveraging multiple data streams, including GPU hardware diagnostics and cluster telemetry, you will be able to predict system failures and optimize workload success rates.
  • Collaborate with engineering teams across NVIDIA to ensure seamless integration of your software from hardware to AI training applications.

What We Expect:

  • A highly motivated individual with strong communication skills, capable of working effectively with cross-functional teams, principles, and architects while coordinating across organizational boundaries.
  • A minimum of 5 years of software engineering experience with large-scale production systems.
  • A Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a related field, or equivalent experience.
  • Expert-level proficiency in a systems programming language (such as Go or Python) and a solid understanding of Data Structures and Algorithms.
  • Knowledge of performance, security, and reliability in complex distributed systems, including familiarity with system-level architecture, data synchronization, fault tolerance, and state management.

Ways to Distinguish Yourself:

  • Proficiency in architecting and managing large-scale distributed systems, regardless of cloud providers.
  • Advanced hands-on experience and in-depth understanding of cluster management systems (e.g., Kubernetes, Slurm, Bright Cluster Manager).
  • Proven track record of operational excellence in designing and maintaining AI infrastructure.

NVIDIA is recognized as one of the most desirable employers in the technology sector. We pride ourselves on having some of the most innovative and dedicated individuals in the industry. If you are creative and self-driven, we encourage you to explore this opportunity.

The compensation package includes a competitive salary, equity, and comprehensive benefits. NVIDIA is committed to fostering a diverse workplace and is proud to be an equal opportunity employer. We value diversity in our workforce and do not discriminate based on 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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