Job Description:The Corporate Applications Engineer (CAE) will provide technical support to mass-market customers, via case tickets, phone, and live chat. This role focuses on troubleshooting and resolving client issues related to microcontrollers/ microprocessors, embedded firmware, software ecosystem, etc. They work individually and collaboratively with peers to address client's hardware and firmware/software challenges, contribute to team infrastructure, AI initiatives, deliver training and provide direct support to the global community.
Requirements/Qualifications:Job Requirements/Key Responsibilities:
- Resolve customer issues through case tickets, live chat, and phone support.
- Guide mass-market customers through embedded hardware, firmware, and software design challenges.
- Apply familiarity with machine learning and AI frameworks to emerging support needs.
- Analyze root causes and document clear, actionable technical findings.
- Create example source code, knowledge-base articles, application notes, chatbot content, reports, and other technical resources.
- Analyze electrical schematics.
- Collaborate with product engineers, applications engineers, field support, peers, and sales teams to address case trends and improve customer outcomes.
- Deliver product demonstrations, technical presentations, and training for customers and internal teams.
- Stay current on industry standards, product roadmaps, and emerging technologies.
Requirements/Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, or a related discipline; (Master's preferred).
- 3-5 years of hands-on experience in embedded firmware, hardware design, or embedded systems development.
- Strong programming skills in C and C++ for embedded applications.
- Solid understanding of embedded hardware, firmware, and software design principles.
- Proven ability to debug hardware using oscilloscopes, logic analyzers, and other electronic lab tools.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Strong analytical and problem-solving skills with a customer-focused mindset.
- Collaborative team player able to work effectively across global engineering, applications, and customer-facing teams.
- Familiarity with AI and machine-learning technologies and their application to technical support or engineering workflows.
- Experience with Microchip products, development tools, or networking protocols (preferred).
- Experience with Ethernet, networking technologies, or connected embedded systems (preferred).
Travel Time:0% - 25%
Physical Attributes:Hearing, Seeing, Talking, Works Alone, Works Around Others
Physical Requirements:sitting 90%
