Lead Cloud Solutions Engineer

2 weeks ago

Santa Clara, California, United States NVIDIA Full time

NVIDIA is seeking exceptional software engineers to enhance our enterprise GPU management and monitoring solutions. In this position, you will collaborate with the broader NVIDIA team to architect and develop Linux-based management agents, Kubernetes integrations, and comprehensive integration solutions that merge GPUs with the overall datacenter software management ecosystem. Our focus is on supporting NVIDIA products across HPC, cloud, and enterprise environments on both bare metal and virtualized platforms as the role of GPUs continues to evolve. Your contributions will encompass various facets of GPU system integration, including telemetry and metrics, health assessments, diagnostics, configuration, and system oversight. These tools serve both passive background monitoring and active online management, emphasizing operational transparency and seamless integration within customer environments. Your code will support everything from single-node developer systems to extensive clusters comprising thousands of nodes.

Key Responsibilities:

  • Design and maintain robust, scalable Go applications within a Kubernetes framework.
  • Develop and sustain user-space applications, containers, Go-bindings, and command-line interface tools.
  • Facilitate GPU management integration with cutting-edge open-source ecosystems, including Kubernetes and Docker.
  • Assist internal and external users through bug resolutions, documentation, and feature enhancements.
  • Ensure high-quality products through comprehensive test coverage.

Qualifications:

  • Bachelor's degree or higher in Computer Science or equivalent experience.
  • Over 5 years of relevant industry experience with a strong background in Go and Kubernetes development.
  • Expertise in user space development and debugging within Linux environments.
  • Proficient in business-level English.
  • Experience with APIs and interface design.
  • Excellent written and verbal communication skills.
  • Strong motivation and commitment to acquiring new skills.
  • Proficient in executing all phases of the software development lifecycle.
  • Ability to manage time effectively in a fast-paced, multitasked environment.

Preferred Qualifications:

  • Development experience with Python, Go, C, C++, and/or Rust. Familiarity with Jenkins and GitHub/GitLab CI/CD pipelines. Background in containers, common orchestration frameworks, and logging/telemetry backends.
  • Experience with APIs and interface design. Exposure to GPU programming with CUDA. Experience in developing and maintaining enterprise software. Familiarity with job schedulers like Slurm or K8s-scheduler.
  • Understanding of Kubernetes internals. Experience in developing Kubernetes operators and knowledge of resource allocations.

NVIDIA is widely 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-motivated, we encourage you to reach out.

The base salary range is competitive and will be determined based on your location, experience, and the compensation of employees in similar roles. You will also be eligible for equity and benefits. NVIDIA values diversity in our workforce and is proud to be an equal opportunity employer.

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