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Job Description:

The Microchip FPGA group develops next-generation platforms for edge compute applications integrated within the high-performance low power FPGAs.

This role is part of the AI acceleration team, which is developing AI processing solutions on Microchip edge devices, and is in the forefront of AI research and development.

As a member of a creative, highly motivated and talented team, you will develop a new compute platform for power performance efficiency applicable to broad range of low power applications including smart embedded vision, industrial IOT, Access/Gateways/ Aggregation Networks, Advanced compute platforms for aerospace and defense applications. We need our engineers to be versatile and passionate to take on new problems as we continue to push technology forward.

As a software engineer, you will help develop machine learning inference systems for FPGA. You will be a 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.

Responsibilities:

• Create and maintain software tools for interfacing with and testing software and hardware modules
• Be an effective contributor in a cross-functional team-oriented environment.
• Write high quality code in Python and C/C++. Maintain existing code.
• Familiarity with on-chip debug tools and lab equipment.

Requirements/Qualifications:

• Bachelor’s Degree in Electrical Engineering, Computer Science or Computer Engineering.
• 2-4 years of experience in software development or a strong graduate with high grades.
• Experience developing in Python.
• Understanding of hardware design.

Preferred Qualifications:

• Experience working in Linux OS.
• Familiarity with software version control systems like Git or SVN.
• Experience in developing, working with Machine Learning Inference Engines.

Travel Time:

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.