Sr Engineer I (GPU)

<div class="content-intro"><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. </p></div><p>We are seeking a skilled <strong>Software Engineer</strong> with expertise in <strong>GPU Infrastructure, Ubuntu operating systems, and automation</strong> to design, build, maintain, and optimize machine images across a variety of cloud platforms. In this role, you will play a key part in delivering <strong>standardized, secure, and high-performant images</strong>, including those deployed on <strong>GPU Bare Metal and GPU droplet (VM) images </strong></p> <p>You will focus on automating the image creation lifecycle, ensuring image integrity, and optimizing for performance and security. The ideal candidate brings deep experience in <strong>GPU infrastructure, automation, and test systems</strong>, along with a strong passion for building <strong>secure, scalable, and efficient machine images</strong> that power modern cloud-native applications and services.</p> <h2><strong>What You’ll Do:</strong></h2> <ul> <li>Work with key stakeholders in packaging and continuously testing our GPU images across multiple platform services. This includes coordination with hardware engineering teams on packaging firmware versions and maintaining an active compatibility matrix of GPU drivers across Nvidia and AMD GPU platforms (H100/H200/MI300x/MI325x).</li> <li><strong>Automation and Scripting</strong>: Develop and maintain tooling and scripts (e.g., using HashiCorp Packer, Ansible, Terraform, Python, Shell scripting) to automate the creation, testing, and deployment of machine images.</li> <li><strong>Security and Compliance</strong>: Ensure machine images adhere to security best practices, including hardening, patch management, and compliance with organizational and industry standards (e.g., CIS benchmarks, GDPR, HIPAA).</li> <li><strong>Optimization</strong>: Optimize machine images for performance, size, and boot time to enhance scalability and reduce operational costs.</li> <li><strong>CI/CD Integration</strong>: Integrate machine image creation into CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI for automated builds and deployments.</li> <li><strong>Versioning and Documentation</strong>: Maintain version control for machine images and document configurations, processes, and best practices.</li> <li><strong>Monitoring and Troubleshooting</strong>: Implement monitoring for image performance and troubleshoot issues related to image deployment and runtime in cloud environments.</li> <li><strong>Stay Updated</strong>: Keep abreast of advancements in cloud technologies, containerization, and image management tools to propose and implement improvements.</li> </ul> <h2><strong>What You'll Add to DigitalOcean:</strong></h2> <ul> <li>Strong experience with building <strong>Linux</strong> operating system images.</li> <li>Solid understanding of <strong>GPU related infrastructure </strong>including NCCL, RCCL testing frameworks particularly in a fabric connected environment.<br><strong>Hands-on experience building and managing machine images</strong> using tools like Packer, cloud-init, Ansible, Python, and shell scripting.</li> <li>Familiarity with <strong>CI/CD tools</strong> (e.g., GitHub Actions, Jenkins, GitLab CI) for automating image pipelines.</li> <li>Strong understanding of <strong>security practices</strong> in image building (e.g., CVE scanning, secrets management, system hardening).</li> <li>Experience in regulated environments (HIPAA, FedRAMP, SOC2, etc.)</li> <li>Knowledge of <strong>Immu ... (truncated, view full listing at source)