Job Description
Provides technical expertise to Intel sales
teams, external partners, and end customers. Acts as a key advisor and thought
leader to the technical sales teams, while driving vision, value, and strategy
around technical solutions. Understands the business use case and technical
merits of a solution, co-owns relationships with customer/partner
decisionmakers to solve complex challenges across system(s) and influences the
customers purchasing decision for specific accounts. Supports Intel sales
professionals, including those in technical sales roles, in design and deal win
engagements by delivering Intel platform and portfolio value propositions and
providing ongoing technical support on product briefings. Understands
competitive landscape to deliver use case based benchmarks and drive customer
driven technical incubations. Supports customer design win needs and
facilitates product and program updates. Liaises with BUs to relay roadmap,
product, program and technical updates to field sales and external partner teams.
Plans and implements training roadmap, assets, schedule, availability, and
delivery. Articulates the voice of customer back to product development teams
to help define platform enabling, roadmap, program, samples, and other enabling
requirements. Note: This is a commissioned sales position.
Qualifications
Provide and coordinate highly consultative
technical software support to the country field team covered accounts and ISVs,
driving enabling and optimization of edge applications, providing initial
DevCloud support and enabling new greenfield application development and
performance optimizations.
Regional customer support and will be
responsible for regional team spanning multiple sales organizations and BU
resources to achieve the sales team's goals. Highly proficient in public
speaking and connecting with developers.
Manage a very flexible work schedule that will
include travel and coordinating work across multiple time zones.
Experience with commercial development AI,
machine learning and big data frameworks.
Experience of tools like OpenVINO, Tensorflow,
Pytorch
Proficiency in C/C++/Python
Model training by using the ML frameworks.
Knowledge of deep learning, CPU/GPU
architecture.
Minimum Qualifications:
Bachelor's degree in Computer Science or any
related engineering field.
5+ years experience with product development
(SW, HW and System Integration).
2+ years experience with video systems and
computer vision.
Preferred Qualifications:
MS in Computer Science or engineering
3+ years experience with large scale
deployment of industrial IOT or embedded solutions.
2+ years experience with commercial
development AI, machine learning and big data frameworks.