Lead Software Engineer for Systems Integration in GoLang
2 weeks ago
NVIDIA is seeking exceptional software engineers to enhance our enterprise GPU management and monitoring solutions.
In this position, you will collaborate with the wider NVIDIA team to architect and develop Linux-based management agents, Kubernetes integrations, and comprehensive integration solutions that synergize GPUs with the broader datacenter software management ecosystem.
Our focus is on supporting NVIDIA products across high-performance computing (HPC), cloud environments, and enterprise solutions on both bare metal and virtualized platforms as the significance of GPUs in these domains continues to grow.
Your contributions will encompass various facets of GPU system integration, including telemetry and metrics, health assessments, diagnostics, configuration, and system oversight.
These tools serve dual purposes of passive background monitoring and active online management, with a core emphasis on 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. To thrive in this role, you must possess a robust Linux background, familiarity with contemporary distributed systems, and a strong work ethic. You will be expected to engage quickly and deliver valuable contributions from the outset. This is a dynamic work environment with numerous exciting opportunities on the horizon. NVIDIA GPUs are pivotal to many emerging trends in enterprise, cloud, and datacenter technology. Join us as we shape the future of accelerated computing and artificial intelligence.
Key Responsibilities:
- Develop and maintain distributed, resilient, and scalable Go applications deployed in Kubernetes environments that manage extensive datacenters.
- Create and sustain user-space applications, containers, Go-bindings, and command-line interface tools.
- Facilitate GPU management integration with cutting-edge open-source technologies, 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.
- 5+ years of substantial 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.
- Exceptional written and verbal communication skills.
- Strong motivation and commitment to acquiring new skills.
- Ability to execute all aspects of the software development lifecycle.
- Capability to manage time effectively in a fast-paced, multitasked environment.
Preferred Qualifications:
- Development experience with Rust, Python, C, or C++.
- Experience with distributed systems and concurrent applications, particularly in a Kubernetes context.
- Background in developing and maintaining enterprise software.
- Experience in deploying, managing, and troubleshooting applications in a Kubernetes environment.
- Familiarity with containers (e.g., Docker, OCI), orchestration frameworks, and logging/telemetry backends with Kubernetes monitoring stacks such as Prometheus, Loki, and Grafana.
- Experience in developing Kubernetes operators or Helm charts.
- Familiarity with HPC job schedulers like Slurm.
- Exposure to GPU programming with CUDA.
- Experience with CI/CD pipelines using Jenkins and GitHub/GitLab.
NVIDIA is recognized as one of the most desirable employers in the technology sector, attracting some of the most innovative and dedicated professionals in the industry.
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