Deep Learning Product Support Engineer

Job Description

SMG's Global Customer Success is a worldwide team which effectively partners with all Intel business units to provide a full range of customer support that spans the lifecycle for Intel's products, programs, and services. Our global services are scalable to meet the needs of every customer from the single end user to the large-scale distributors and original equipment manufacturers. These services include design-in testing tools (TNT), pre-sales tech enablement (ADC) to post sale technical support and warranty (ICS) for all Intel branded products, programs, and services. 

The successful Product Support Engineer (PSE) in Intel's Global Customer Success organization partners with Intel's customers, ecosystem software vendors, and the opensource community to develop, integrate, test, tune, debug, optimize and differentiate software. PSEs engage as a technical expert or trusted technical advisor to drive Intel value and differentiation in or across disciplines such as Enterprise, Cloud, Client, HPC, AI, Gaming, Graphics, Analytics and Edge. They utilize deep domain and market segment expertise to research, develop, and prototype software that leverages and drives adoption of Intel product capabilities. They evangelize software tools and technologies to the ecosystem to enable and support Intel products. PSEs are involved in application enabling, product development, and product hardening to launch future products and provide customer support. They may deliver collateral and training, including competitive/differentiated benchmarks, and may identify and drive key workloads into product requirements and landing zones for future product design, simulation, projection methods, and tools. PSEs drive product improvements that minimize the need for explicit enabling and maximizes scale adoption.

Qualifications

Minimum Qualifications:

• BS in Computer Engineering Computer Science or a related technical field.

• 5+ years of relevant work experience in:

• Machine learning and deep learning as demonstrated by patents, publications or other means.

• Deep learning model development and inference especially with Intel OpenVINO.

• Programming skills in Windows and Linux using C++ and Python are a must.

Preferred Qualifications:

• M.S in Computer Engineering, Computer Science or related technical field

Inside this Business Group

Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.

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.

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.