Software Engineer – GPU Platform, Mid-Level (Remote)

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Job Summary:

Danta Technologies is seeking a skilled Software Engineer with expertise in GPU Infrastructure to design, build, maintain, and optimize machine images across various cloud platforms. The role involves automating the image creation lifecycle, ensuring image integrity, and optimizing for performance and security.

Responsibilities:

• 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).

• Automation and Scripting: 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.

• Security and Compliance: 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).

• Optimization: Optimize machine images for performance, size, and boot time to enhance scalability and reduce operational costs.

• CI/CD Integration: Integrate machine image creation into CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI for automated builds and deployments.

• Versioning and Documentation: Maintain version control for machine images and document configurations, processes, and best practices.

• Monitoring and Troubleshooting: Implement monitoring for image performance and troubleshoot issues related to image deployment and runtime in cloud environments.

• Stay Updated: Keep abreast of advancements in cloud technologies, containerization, and image management tools to propose and implement improvements.

Qualifications:

Required:

• Strong experience with building Linux operating system images.

• Solid understanding of GPU-related infrastructure, including NCCL, Client testing frameworks, particularly in a fabric-connected environment.

• Hands-on experience building and managing machine images using tools like Packer, cloud-init, Ansible, Python, and shell scripting.

• Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI) for automating image pipelines.

• Strong understanding of security practices in image building (e.g., CVE scanning, secrets management, system hardening).

Preferred:

• Experience in developer experience environments that cater towards Ai/ML.

• Knowledge of Immutable Infrastructure and Golden Image pipelines.

• Experience with configuration management tools like Chef or Puppet.

Company:

Danta Technologies is a consulting and IT services firm that offers solutions for all levels of IT. Founded in 2013, the company is headquartered in San Marcos, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Danta Technologies has a track record of offering H1B sponsorships.