Technical Staff Engineer- Hardware AI/ML

Position Overview

Microchip Technology Inc is a global multi-billion dollar organization with a 17,000‐member team that designs the technology powering the world. We are seeking a highly skilled Hardware Engineer to develop next‐generation AI/ML acceleration hardware platforms for edge computing. In this role, you will drive innovation across ASIC/SOC silicon platforms including MCUs, MPUs, and FPGAs while collaborating with cross‐functional teams to integrate AI/ML solutions into cutting-edge products.

Key Responsibilities

• Develop AI/ML acceleration hardware systems in ASIC/SOC silicon platforms, including microcontrollers, microprocessors, and FPGAs.
• Collaborate with hardware engineers, architects, and software engineers to integrate high-performance, low-power AI/ML solutions into edge devices.
• Partner with verification, DFT, and physical design engineers to implement hardware solutions on leading process technologies.
• Work with various business units to integrate AI/ML hardware into new vertical silicon platforms across diverse process node technologies.
• Foster a team environment that embraces innovation and continuous improvement.

Required Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
• 10+ years of experience in hardware architecture and design, focusing on microprocessor-based systems definition, implementation, verification, and testing.
• Deep experience in hardware design using RTL system-level design, simulation, and synthesis tools, with hands-on expertise from RTL to GDSII using System Verilog and industry-standard ASIC/SoC tools.
• Proficiency in Agile project management and Git SCM workflow.
• Understanding of System Verilog UVM testing, DFT tools, and emulation methodologies.
• Experience with systems architectures including Arm, MIPS, RISC-V, PIC, and dsPIC microprocessors.
• Knowledge of hardware system buses such as AMBA AXI, AHB, and APB.
• Expertise in memory subsystem architecture, including NVRAM, SRAM, and DRAM technologies.
• Experience with embedded systems technologies in motor and lighting control, ethernet, USB, security, cryptography, AI/ML, and multimedia subsystems.
• Strong Unix/Linux skills with programming proficiency in Bash, Perl, Python, C, C++, and YAML.
• Ability to effectively work across different departments, cultures, and time zones.
• Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.
• Exceptional written, verbal, and communication skills in English.

Preferred Qualifications

• Proficiency with machine learning development tools and frameworks such as the MPLAB Machine Learning Development Suite, TensorFlow/TFLite, PyTorch, Keras, and ONNX.
• Good understanding of NPU/GPU and hardware acceleration techniques for edge computing applications.
• Experience with FPGA architectures and implementation of RTL designs in FPGA systems.
• Familiarity with management systems such as Polarion and Atlassian (Jira, Confluence) toolsuite.
• Knowledge of security and privacy in edge computing and cyber security analysis using ISO-21434 workflow requirements.
• Understanding of Functional Safety Development and analysis methods using ISO-26262 workflow requirements.