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IOT Multimedia Engineer - San Diego California
Company: Qualcomm Location: San Diego, California
Posted On: 05/04/2025
Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Software EngineeringGeneral Summary:Join the Multimedia Solutions team, where we are pioneering AI-based IoT solutions for the edge. We leverage Qualcomm's hardware-accelerated AI to transform industries such as video surveillance, consumer/retail, robotics, industrial, and more. If you are passionate about creating new technology and thrive in a dynamic environment, we want to hear from you!We are seeking a motivated Software Engineer to design and implement cutting-edge IoT use cases. You will work on diverse projects that harness the power of AI to deliver impactful solutions across various sectors. Your role will involve: - Designing and developing IoT applications that utilize Qualcomm's AI technology.
- Implementing robust and scalable solutions for video surveillance, consumer/retail, robotics, industrial applications, and beyond.
- Collaborating with cross-functional teams to ensure seamless integration and deployment of IoT systems.
- Staying updated with the latest advancements in AI and IoT to continuously innovate and improve our offerings.Skills/Experience:Must haves:
- Excellent written and verbal communication skills
- Self-starter who likes to be challenged and solve tough complex issues with a passion for coding
- Proven ability to design, debug and document complex software applications
- Proven OOD programming experience Python, C/C++, or Java is required.
- Strong Object Oriented Design fundamentals and design pattern experience is desired.Experience in these areas jump you to the front of the line:
- Experience developing and deploying scalable IoT solutions either on-device at the edge and/or in the cloud.
- Experience with Docker containers and Kubernetes
- Programming experience JavaScript/NodeJS, Rust, Go/Golang
- Strong mathematical foundation and extensive experience in Deep Learning, Machine Learning and Computer Vision.
- Experience with on-device AI runtimes like TFLite, Pytorch edge, TinyML, or Qualcomm AI stack
- Understanding of communication protocols such as MQTT, CoAP, and HTTP
- Familiarity with embedded systems programming, including microcontrollers and microprocessors
- Ability to develop and integrate APIs for seamless communication between IoT devices and platforms
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing IoT solutionsMinimum Qualifications:
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