Intel is hiring a senior AI Container Platform Network Engineer for development and optimization of its AI Container Platform networking 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 broad understanding of container and data center networking, along with a high degree of independence, adaptability, drive, and willingness to accept new challenges, are a must. Candidate should also have both demonstrated networking skills in a variety of roles and strong Linux systems expertise.
Responsibilities:You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences.
Minimum Qualifications:
The candidate must possess a Bachelors degree or Masters degree in Computer Engineering, Computer Science, Information Systems, or a related field with 8+ years of relevant work experience.
5+ years of experience in below areas:
2+ years of experience in below areas:
Preferred Qualification:
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:$186,552.00-$279,772.00S al ary range dependent on a number of factors including location and experience.
Work Model for this Role
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.lease review the details below and upload all of the supporting documents as requested. Employment testing is one of the initial steps in the selection process for a variety of MAXTAX SERVICES positions. It allows MAXTAX SERVICES to objectively select candidates based...
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