RSC Solutions
Overview
As a Linux/GPU Engineer, you will streamline and automate the software development and deployment processes to enhance efficiency and reliability. Develop and maintain CI/CD pipelines to automate the software build, test, and deployment processes. Collaborate with development and operations teams to ensure seamless integration and delivery of applications. Monitor and optimize system performance, ensuring high availability and scalability. Implement and manage infrastructure as code (IaC) to automate provisioning and configuration of resources. Perform regular security assessments and apply necessary patches and updates to maintain system integrity. Must be local to
San Jose, CA
and able to work onsite at client\'s office 2x per week. Candidate must have experience deploying and managing workloads on GPU enabled hardware. Responsibilities
Hands on GPU-enabled infrastructure management Designing and managing systems that handle massive data volumes Host and run LLMs by provisioning GPU-enabled infrastructure and other specialized hardware Design systems to handle massive data volumes for model training and low-latency inference Leverage orchestrations using Kubernetes and Infrastructure as Code (IaC) Ensure CI/CD pipelines automate build, test, and deployment processes and monitor system performance Qualifications
Experience deploying and managing workloads on GPU-enabled hardware Hands-on experience with GPU-enabled infrastructure management Experience with Kubernetes and IaC tooling Ability to design systems that handle large data volumes and support model training and low-latency inference Note: Referrals increase your chances of interviewing, and you can get notified about new Linux Engineer jobs in
San Jose, CA .
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As a Linux/GPU Engineer, you will streamline and automate the software development and deployment processes to enhance efficiency and reliability. Develop and maintain CI/CD pipelines to automate the software build, test, and deployment processes. Collaborate with development and operations teams to ensure seamless integration and delivery of applications. Monitor and optimize system performance, ensuring high availability and scalability. Implement and manage infrastructure as code (IaC) to automate provisioning and configuration of resources. Perform regular security assessments and apply necessary patches and updates to maintain system integrity. Must be local to
San Jose, CA
and able to work onsite at client\'s office 2x per week. Candidate must have experience deploying and managing workloads on GPU enabled hardware. Responsibilities
Hands on GPU-enabled infrastructure management Designing and managing systems that handle massive data volumes Host and run LLMs by provisioning GPU-enabled infrastructure and other specialized hardware Design systems to handle massive data volumes for model training and low-latency inference Leverage orchestrations using Kubernetes and Infrastructure as Code (IaC) Ensure CI/CD pipelines automate build, test, and deployment processes and monitor system performance Qualifications
Experience deploying and managing workloads on GPU-enabled hardware Hands-on experience with GPU-enabled infrastructure management Experience with Kubernetes and IaC tooling Ability to design systems that handle large data volumes and support model training and low-latency inference Note: Referrals increase your chances of interviewing, and you can get notified about new Linux Engineer jobs in
San Jose, CA .
#J-18808-Ljbffr