Principal Engineer-Software

Are you looking for a unique opportunity to be a part of something great? Want to join a 20,000-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:

As a Pr. Engineer-Software, you will help develop machine learning inference systems for FPGA. You will be software developer in your group, using this knowledge to create new IP and build systems. You may also work with embedded software and handle interfaces with hardware. Your group will work on a vertical design from customer software interfaces to the hardware itself. You will be asked to problem-solve and contribute to many layers of the design. If not already possessed, during this job you’ll gain knowledge about modern machine learning tasks. You’ll use this knowledge to optimize applications and create next-generation parts.

Key job responsibilities/duties include:

Create and maintain software tools for porting and compiling Machine Learning models.

Understand machine learning inference flow.

Be an effective contributor in a cross-functional team-oriented environment.

Write high quality code in Python and C/C++. Maintain existing code.

Be conversant with on-chip debug tools and lab equipment

Requirements/Qualifications:

Bachelor’s Degree in Electrical Engineering, Computer Science or Computer Engineering.

8.5+ years of relevant industry experience.

Experience developing in Python.

Experience developing in C/C++.

Experience working in Linux OS.

Familiarity with software version control systems like Git or SVN.

Experience with Machine Learning.

Preferred Qualifications:

Experience in developing, working with Machine Learning Inference Engines.

Hands-on experience analyzing workloads for multi-core CPUs/ DSP use cases/ Neural Networks.

Domain knowledge of Machine Learning network models, SDK, design flow.

Travel Time:

No Travel