Senior Engineer II-Software AI/ML - Cloud Eco-system at Microchip Technology Inc Japan

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML, Cloud Computing, JavaScript, TypeScript, C/C++, Python, TensorFlow, TFLite, Pytorch, Agile, DevOps, Object-Oriented Programming, Embedded Systems, Edge Computing, Data Analysis, Software Development

Industry

Semiconductor Manufacturing

Description

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. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip’s nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it’s won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you. Visit our careers page to see what exciting opportunities and company perks await! Job Description: Participate in the design, development, and implementation of new and existing AI models using JavaScript, TypeScript, C/C++, and Python languages in an AI application across the various Edge AI hardware platforms. Create and define AI models in various platforms using TFLite, Tensorflow, ONNX, Pytorch and C/C++ based technologies. Design and implementation of AI/ML applications, models and algorithms optimized for edge computing environments in our cloud-based development and application space. Work closely with product management to help define project requirements, milestones, and deliverables. Work with applications software engineers to develop methodologies in gathering, applying and evaluating data for consumption by AI models running on Edge AI hardware. Work with software engineering team to implement accelerated AI training software platforms. Develop and tune AI models for efficient execution on hardware platforms. 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/Qualifications: Bachelor’s, Master’s degree in Computer Science, Electronics Engineering or related field. 7+ years of total experience in software development for Bachelor’s and 5+ years of total experience in software development for Masters + 2+ years of specific A/ML software development experience. Experience of hosting cloud applications in AWS using AWS tools and release applications. Familiarity with cloud computing platforms (Azure, GCP, OCI) and edge-to-cloud integration. 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. Experience with Agile DevOps/SecDevOps/Git SCM software development lifecycle workflow. Experience in developing software solutions in SAAS applications or embedded application areas. Strong understanding of object-oriented programming principles and design patterns. 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. Preferred Qualifications: Experience in front-end web development using HTML, React, Angular, JavaScript or Node.js languages. 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. Familiarity with SQL and database design concepts. Knowledge of ansible, chef, or Jenkins deployment languages in a cloud-based application environment. Knowledge of scripting languages (Bash, Shell, Perl) for data manipulation and management. 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. 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. Understanding of Functional Safety Development and analysis methods using ISO-26262 workflow requirements. Travel Time: 0% - 25% To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes. At Microchip, employees are our greatest strength. As one of the top performing semiconductor companies in the world, we are led by a set of guiding values and a mission to empower innovation to enhance the human experience. We work tirelessly to create a company culture that highlights how important every employee is to our mission. Microchip Recruitment Privacy Notice Recruitment Scam Alert Microchip will never: Request banking or payment information during the application or interview process. Ask candidates to register or pay for a training class as part of the application or interview process. Ask candidates to receive or ship packages or goods as part of the recruitment process. Use email address not ending with "@microchip.com". Use instant messaging to communicate. Be wary of generic emails or vague job details. If something feels suspicious, stop communicating immediately. To report potential scams, contact us at HR.Compliance@microchip.com.

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Responsibilities

The role involves designing, developing, and implementing AI models for Edge AI hardware platforms, as well as collaborating with cross-functional teams to analyze project requirements. Additionally, the engineer will work on optimizing AI/ML applications for cloud-based environments.