Posted:
4/9/2026, 8:53:24 AM
Location(s):
Chandler, Arizona, United States ⋅ San Jose, California, United States ⋅ California, United States ⋅ Arizona, United States
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
AI & Machine Learning ⋅ Software Engineering
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:
Microchip Technology Inc. is seeking an entry level Applications Engineer to support 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.
Develop and maintain Edge AI/ML demonstration applications across Microchip platforms, including MCUs, MPUs, and FPGAs, from early proof-of-concepts to production-quality demos for tradeshows and events. Implement ML inference pipelines for vision, audio, and sensor-based use cases
Design, implement, debug, and optimize embedded software in C/C++ and Python, integrating AI/ML models with on-chip peripherals and external sensors. Assist with model training, conversion, and deployment using frameworks such as:
PyTorch
TensorFlow / TensorFlow Lite
ONNX and ONNX Runtime (where applicable)
Create application notes, demo guides, and reference documentation
Support internal teams, FAEs, and customers with demo setup and technical questions, attend trade-shows and events across Americas to showcase such demos.
Participate in customer engagements, training, and tradeshows as required
Collaborate with product, tools, and firmware teams to provide feedback and improvements
Requirements/Qualifications:
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
0-3 years work experience with embedded software implementation
Strong programming skills in C/C++ & python
Expertise in embedded systems, including peripherals such as UART, I²C, SPI, USB, and GPIO.
Strong analytical and software debugging skills, with experience diagnosing embedded hardware/peripheral issues in the lab using oscilloscopes, logic analyzers, or similar tools.
Basic understanding of machine learning concepts
Hands-on experience with Linux and embedded Linux development environments
Ability to work independently and as part of a team
Effective written and verbal communication skills
Willingness to learn new technologies and tools
Ability to manage multiple tasks in a fast-paced environment
Self-starter with the ability to take initiative to complete tasks
Domestic travel (up to ~40%) may be required for customer meetings and tradeshows
Preferred Qualifications
Exposure to TinyML or Edge AI workflows
Experience with Python for data processing or ML experimentation
Familiarity with ARM Cortex-M, RISC-V
• Experience with academic, personal, or maker projects involving:Sensors or signal processing
Computer vision or audio processing
FPGA-based designs
Hands-on embedded projects using Arduino, Raspberry Pi, or similar, interfacing with external devices to create functional systems
Knowledge of RTOS concepts
Travel Time:
0% - 25%Physical Attributes:
Hearing, Seeing, Talking, Works Alone, Works Around OthersPhysical Requirements:
80% sitting, 10% standing, 10% walking, 100% insidePay Range:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature. Find more information about all our benefits at the link below:Benefits of working at Microchip
The annual base salary range for this position, which could be performed in the US, is $70,304-$143,000.**Range is dependent on numerous factors including job location, skills and experience.
Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
For more information on applicable equal employment regulations, please refer to the Know Your Rights: Workplace Discrimination is Illegal Poster.
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.
Website: https://www.microchip.com/
Headquarter Location: Chandler, Arizona, United States
Employee Count: 10001+
Year Founded: 1989
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Automotive ⋅ Manufacturing ⋅ Semiconductor ⋅ Wireless