Senior AI Network and Transport Layer Modeling Engineer

Intel

Senior AI Network and Transport Layer Modeling Engineer

Oklahoma City ,

Oklahoma

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Come and join us! Intel NEX Cloud Networking Group (NCNG) delivers best-in-class Ethernet products and is part of the Connectivity Group which is at the heart of Intel's transformation from a PC company to a company that powers the cloud and billions of smart, connected computing-devices. NCNG's compelling Ethernet products move the world's data and are the foundations of cloud service and telecommunications data centers. We are a team of problem solvers, experimenters, and innovators who are dedicated to designing the network technologies that currently lead and continue to transform datacenter ecosystems. As a world-class organization, we're looking for outstanding talent to accelerate our growth during an exciting time in Ethernet networking technology. If you're ready to be a part of this journey, then we want to hear from you.
In this role, your daily agenda will be anything but ordinary. On a regular basis, you will:
Develop and drive product definition by using analytic and simulation models (bandwidths, latencies, workloads, port counts, and types), develop high level architecture distributed system models, review, and guide product architecture specification, and specify protocols and functional interactions for the product.
Drive performance, workloads, and SLA goals.
Evaluate feasibility tradeoffs, explore, and define new approaches and novel architectures for the distributed systems especially for AI and ML training fabrics.
Collaborate with Silicon design engineers specially Design Verification teams.
Qualifications
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Minimum Qualifications:
Ph.D degree in Electrical Engineering, Computer Science, Computer Engineering, or in a STEM related field of study.
2 + years of Experience in software development, C++, vsCode, multi-threaded debugging, cloud-based software development and operation at scale.
Experience with Queuing Theory
Experience with Traffic Management
Experience in Large scale Data Center networks, especially data plane
Experience in Transport layer, state of the art, and industry evolution
Experience with L2 and L3 network protocols
Experience in Event driven network simulations and simulators (e.g. ns3, distributed ns3 over MPI, C++ written models, Python based scripts and analytics)
Inside this Business Group
The Network & Edge Group brings together our network connectivity and edge into a business unit chartered to drive technology end to end product leadership. It's leadership Ethernet, Switch, IPU, Photonics, Network and Edge portfolio is comprised of leadership products critically important to our customers.
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.
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. (https://jobs.intel.com/en/benefits)
Annual Salary Range for jobs which could be performed in US, Colorado, New York, Washington, California: $144,501.00-$217,311.00
*Salary range dependent on a number of factors including location and experience
Working Model
This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as 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.

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