Senior Engineer II- Software AI/ML

About the position

Microchip Technology Inc. is at the forefront of integrating Artificial Intelligence (AI) and Machine Learning (ML) into cutting-edge designs. We offer a comprehensive range of software and hardware tool kits, reference designs, and silicon platforms to facilitate the development of AI-based solutions. Our extensive portfolio includes microcontrollers (MCUs), microprocessors (MPUs), and Field-Programmable Gate Arrays (FPGAs), enabling the creation of high-performance AI applications for various industries.

Responsibilities

• Participate in the design, development, and implementation of new and existing software applications using JavaScript, C# and the .NET framework.
• Work closely with product management to help define project requirements, milestones, and deliverables.
• Design and implementation of AI/ML applications, models and algorithms optimized for edge computing environments.
• Collaborate with cross-functional teams across the company to analyze project requirements and propose innovative solutions.
• Utilize best practices in software development, including code reviews, unit testing, integration and continuous integration.
• Write clean, maintainable, and efficient code, adhering to best practices and coding standards.
• Debug, troubleshoot, and resolve software defects and issues.
• Assist with the documentation of software solutions, including technical specifications and user guides.
• Work with customers and provide support to end-users when necessary.
• 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

• Bachelor's or Master's degree in Computer Science, Software Engineering or related field.
• 5 years of experience in software development + Master's with 2-5+ years of specific A/ML software development OR 7.5 years of experience in software development + Bachelor's with 2-5+ years of specific A/ML software development.
• Experience with Agile DevOps/SecDevOps/Git SCM software development lifecycle workflow.
• Strong understanding of object-oriented programming principles and design patterns.
• Familiarity with SQL and database design concepts.
• Proficiency in Java, C, C++, C#, Python or .NET in an applications development.
• Experience with web development using languages and technologies such as Python, PHP, Angular.js, React.js, JavaScript, HTML, CSS, JSON, XML/YAML and OAuth API communication methods.
• Excellent communication, interpersonal skills, problem-solving skills and the ability to work independently and as part of a team.
• Eagerness to learn, adapt, and take on new challenges.

Nice-to-haves

• Familiar in using machine learning development tools and frameworks, such as the MPLAB Machine Learning Development Suite and Python AI/ML libraries using TensorFlow/TFLite, Pytorch, Keras, and ONNX.
• Familiarity with cloud computing platforms (AWS, Azure, GCP, OCI) and edge-to-cloud integration.
• Good understanding of software requirements for NPU/GPU acceleration, AI/ML hardware acceleration techniques, embedded applications and edge computing applications.
• Experience with commercial AI acceleration hardware such as Arm, Ceva, VeriSilicon, Cadence or Synopsys NPUs.
• 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.
• Experience with edge computing platforms and optimizing AI/ML models for resource-constrained devices.
• Familiarity with the development of AI applications for industries such as automotive, security, AR/VR, drones, audio and video processing, and robotics.
• Familiar with management systems such as Polarion and Atlassian (Jira, Confluence) toolsuite.
• Knowledge of security and privacy considerations in edge computing and cyber security development and analysis methods using ISO-21434 workflow requirements.
• Understanding of Functional Safety Development and analysis methods using ISO-26262 workflow requirements.