Platform Solutions Architect - Video/AI

Phoenix, AZ 85003
  • Job Code
Job Description

Come and join us! Intel is seeking highly qualified candidates to join our Internet of Things Group (IoTG) as a Platform Solutions Architect!

This job mainly focuses on defining media and deep learning systems based on the IoTG video product/solution portfolio with state-of-the-art software. You will drive multiple platforms/architectures in key device/solution customer engagements to help to optimize the video pipeline, including the following essential components in video processing - codec, preprocessing, machine learning, deep learning (including training, transfer learning and inferencing), storage, and networks.

Responsibilities will include, but are not limited to:

  • Define optimal end-to-end video workflow and architecture, including software tools for transcoding and inference.
  • Hands-on experience in testing production software, including building physical lab infrastructure and creating methodologies, processes, and tools for efficient and effective throughput of testing.
  • Work with senior architects on building new test methodology when new use cases are identified - domains: machine learning, deep learning, media, storage, network.
  • Leverage Intel software tool and library to ensure the customer is maximizing the use of Intel products.
  • Participate in product planning, and release meetings to provide input and decisions. Collaborating with various internal cross-team system validation organizations.

The ideal candidate will have the following skills in addition to the qualifications listed below.

  • Must be a team player, with a demonstrated experience technically influencing others.
  • Strong problem-solving skills.
  • Excellent verbal and written communication skills.


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


Bachelor's Degree in Computer Science or Electrical Engineering with 6+ years of experience in the field of computer vision and machine learning, Masters in Computer Science or Electrical Engineering with 4 years of experience in computer vision, machine learning, deep learning.

Minimum Qualifications:

4+ years of experience in the following areas:

  • Experience in one or more scripting languages in one or more mainstream operating systems, such as C/C++, Python programming in Windows, and Ubuntu/RedHat.
  • Experience in one or more deep learning frameworks such as PyTorch, TensorFlow, MXNet, ONNX, etc
  • Experience in systems or solution engineering.
  • Experience with x86 and server or infrastructure architecture.
  • Experience in one or more technical domains - MediaSDK, OpenVINO, OpenCL, ML libraries, Deep Learning related SDKs, etc.

Additional Preferred Qualifications:

  • Experience working across geographies and organizational boundaries.
  • Experience in performing analysis, bottleneck identifications, and tuning.
  • Experience in workload containerization and orchestrations.
  • Ph.D. degree in the related field is preferred with at least 2 years of experience.
  • TensorFlow experience is preferred.

Inside this Business Group

Employees of the Internet of Things Solutions Group (IOTG) have an exciting opportunity before them: To grow Intel's leadership position in the rapidly evolving IoT market by delivering the best silicon, software and services that meet a wide range of customer requirements - from Intel Xeon to Intel Quark. The group, a fresh, dynamic collaboration between Intel's Intelligent Solutions Group and Wind River Systems, utilizes assets from across all of Intel in such areas as industrial automation, retail, automobiles and aerospace. The IOTG team is dedicated to helping Intel drive the next major growth inflection through productivity and new business models that are emerging as a result of IoT.

Other Locations

US, California, Santa Clara;US, Oregon, Hillsboro;US, Texas, Austin

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.

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Platform Solutions Architect - Video/AI

Phoenix, AZ 85003

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