Ai Container Platform Storage Engineer

Job Description

The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people’s digital lives. Come join us and do something wonderful!

Intel is hiring an AI Container Platform Storage Engineer for development and optimization of its AI infrastructure. This includes collaboration with other team members to design and build a highly resilient Kubernetes Container Platform that is optimized for AI workloads on Intel accelerator hardware. Successful candidates will have a strong desire to address challenges with an attention to detail and focus to build a highly reliable and scalable Container Platform. A foundational understanding of software development principles and testing methodologies along with a high degree of independence, adaptability, drive, and willingness to accept new challenges, are a must. Candidate must also understand and adhere to software development industry best practices. Candidate should also have both demonstrated software development skills in a range of languages and strong Linux systems expertise.

Areas of responsibility for the AI Container Platform Storage Engineer role include, but are not limited to the following:

• Work with others to design, build, and maintain a Kubernetes Container Platform on bare metal on-premises hardware.

• Participate in building advanced tooling for deployment, testing, monitoring, logging, administration, auditing, and operations of multiple Kubernetes clusters in distributed data centers.

• Research and implement solutions related to Kubernetes container storage to build a highly reliable, scalable, secure, and resource-optimized AI Container Platform.

• Evaluate and select of third-party commercial and open-source storage components for the AI Container Platform.

• Identify, develop, and test backup and recovery procedures for platform applications and the platform itself.

• Benchmarking of testing storage performance including throughput, latency, and IOPS

Qualifications

Minimum Qualifications:

You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates.

Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field with 4+ years of relevant work experience or a

Master's degree in Computer Engineering, Computer Science, Information Systems, or a related field with 3+ years of relevant work experience.

• 3+ years of experience in Python, Golang or another modern programming language.

• 3+ years of experience in Linux based operating systems such as CentOS, Ubuntu, SUSE, or Rocky.

• 3+ years of experience in Bash shell scripting and Linux command-line acumen.

• 2+ years of experience in Engineering team deploying software in a Cloud or on-premises data center environment.

• 2+ years of experience in Linux containers and container runtimes (Docker, containerd, cri-o).

• 2+ years of experience in Kubernetes.

• 2+ years of experience in Git development workflow.

• 2+ years of experience in software defined storage.

• 2+ years of experience in Container Storage Interface (CSI) standard and CSI plugins for Kubernetes.

• 2+ years of experience in configuration and deployment of CSI operators, components, and storage plugins for Kubernetes.

• 2+ years of experience in Kubernetes storage class creation and maintenance of persistent volumes (PV) and persistent volume claims (PVC).

• 2+ years of experience in operations and administration of large, high-performance storage (Netapp, Weka, etc.).

• 2+ years of experience in block, file, and object storage configuration, deployment, and operations.

• 2+ years of experience in metrics identification and monitoring implementations of storage clusters.

• 2+ years of experience in backup procedures and disaster and recovery planning.

Preferred Qualification:

• Kubespray, Kops, or Kubadm.
• Experience building storage clusters for HPC and AI/ML applications and workloads.
• Planning and execution of migration strategies ensuring data integrity, minimal downtime, and system performance optimization.
• Troubleshooting of complex storage issues, including performance bottlenecks, data recovery, and optimization constraints.
• Experience with SAN, NAS, Fibre Channel, Min.io, S3, iSCSI, Ceph, NFS, NVMe, and other storage technologies and protocols.
• Hardware accelerators and specialized devices (GPU, HPU, HPC) workload storage.
• Hardware accelerators and specialized devices (GPU, HPU, HPC) workload storage.

Inside this Business Group

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Other Locations

US, OR, Hillsboro; US, AZ, Phoenix; US, CA, Folsom; US, CA, San Diego; US, CA, Santa Clara; US, OH, Columbus

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in US, California: $162,082.00-$243,222.00

• Salary range dependent on a number of factors including location and experience

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.

JobType

Hybrid