Principal Engineer - Applications - AI/ML

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc.

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Job Description:

Microchip Technology Inc. is seeking a Senior Engineer to support the development of Edge AI / Machine Learning demonstrations on Microchip MCU, MPU, and FPGA platforms.
This role focuses on creating, validating, and documenting reference designs and demonstrations that enable customers to deploy AI/ML workloads on resource-constrained embedded systems. The successful candidate will work closely with internal engineering, marketing, and field teams to enable customers through high-quality demos, example code, and technical collateral.

Join our growing Edge AI team!

Key Responsibilities:

• Develop Embedded applications using Microchip AI offerings demonstrating product capabilities and features set with focus on Edge AI based solutions

• Develop reference solutions and proof of concept demos to assist customers in designing, developing & troubleshooting Edge AI applications like Computer vision, Object detection, Smart cameras, Mid end Robotics/ Healthcare solutions.

• Attend meetings with various stakeholders to understand the key customer issues and come up with solutions to solve them

• Participate in Development, review and implementation of AI/ML applications, models and algorithms optimized for edge computing environments in our cloud-based development and application space.

• Use AI models in various platforms using TFLite, Tensorflow, ONNX, Pytorch based technologies.

• Provide presentations and trainings on technical topics to customers and other stakeholders

• Provide feedback on improvements in Microchip’s hardware, software, tools and documentation targeting Edge AI solutions.

• Work closely with product management to help define project requirements, milestones, and deliverables.

• Work with software engineers to develop methodologies in gathering, applying and evaluating data for consumption by AI models running on Edge AI hardware.

• Train and tune AI models for efficient execution on hardware platforms.

• Utilize best practices in software development, including code reviews, unit testing, integration and continuous integration.

• Stay up-to-date with the latest advancements in AI/ML and edge computing technologies to ensure our solutions remain at the cutting edge.

• Work in a team environment, developing and fostering a culture of innovation and continuous improvement.

Requirements/Qualifications:

Qualifications:

• Bachelor’s, Master’s degree in Computer Science, Electronics Engineering or related field.

• 10+ years of total experience in Embedded design and development and at least 2+ years of specific AI/ML based application development.

• Computer vision implementation experience using AI on ARM A7 - A53 / RISC V class CPU. Prior experience on any part of vision processing / ISP would be preferred.
  Proficient knowledge in using machine learning development languages, tools and frameworks, such as the MPLAB Machine Learning Development Suite and Python AI/ML libraries using TensorFlow/TFLite, Pytorch, Keras, and ONNX.

• Good knowledge of 32-bit/ 64-bit Microprocessor architectures. Experience with ARM Cortex-A, ARM9, RISC-V will be an added advantage.

• Experience with audio processing based solutions.

• Solid programming experience in Embedded Linux systems - Development: Customizing, building, and maintaining Linux kernels and distributions (e.g., Yocto) for MPU hardware.

• Good experience on developing and integrating bootloaders (AT91Bootstrap, U-Boot) for board Bring-up.

• Creating and debugging drivers for peripherals (cameras, multimedia, networking).

• Experience in Graphics and other displays will be an added advantage

• Application layer software development experience on embedded systems. Ability to translate complex technical concepts into simplified examples.

• Team player with Strong written and verbal communication skills.

• Must be highly motivated. Possess eager attitude toward learning new skills & technology

Preferred Qualifications:

• Experience in TinyML or Edge AI workflows

• Familiarity with use of computing platforms (AWS, Azure, GCP, OCI) and edge-to-cloud integration.

• Knowledge of data collection, preprocessing, and training neural networks in data centers.

• Solid understanding of edge computing architectures, including IoT devices, embedded systems, and real-time processing.

• Implementing secure boot, encryption will be an added advantage.

• Experience with edge computing platforms and optimizing AI/ML models for resource-constrained devices.

• Knowledge of signal processing and analysis in an ML framework.

• Knowledge of security and privacy considerations in edge computing and cyber security development and analysis methods using ISO-21434 workflow requirements.

Travel Time:

0% - 25%

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