Technical Staff Engineer- Hardware AI/ML

Microchip Corporation-posted 3 months ago

Full-time

Chandler, AZ

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We are seeking a highly skilled and experienced Hardware Engineer to join our team in developing cutting-edge machine learning acceleration solutions for edge computing. This role involves developing and implementing next-generation AI/ML acceleration hardware platforms. The ideal candidate will have a strong background in silicon hardware design from RTL to GDSII, microcontroller and microprocessor system design in embedded systems. Join our team and be a part of the fast-growing, cutting-edge technology!

Develop AI/ML acceleration hardware systems in ASIC/SOC silicon platforms, including microcontrollers (MCUs), microprocessors (MPUs), and Field-Programmable Gate Arrays (FPGAs) families.
Collaborate with hardware engineers, hardware architects and software engineers to integrate AI/ML hardware solutions into edge devices, ensuring high performance with low power and efficient use of memory and processing power.
Collaborate with verification, DFT and physical design engineers to implement AI/ML hardware solutions into silicon on leading process technologies.
Work with other Microchip business units to help integrate AI/ML hardware solutions into new vertical silicon platforms in various process node technologies.
Work in a team environment, developing and fostering a culture of innovation and continuous improvement.

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
10+ years of experience in hardware architecture and design, with a focus on definition, implementation, verification and testing of microprocessor-based systems.
Deep experience in hardware design using RTL system-level design, simulation and synthesis tools with a deep understanding of RTL to GDSII workflow using System Verilog and Cadence/Synopsys ASIC or SoC development tools on various industry process technologies.
Experience with Agile project management and Git SCM workflow.
Understanding of System Verilog UVM testing, DFT tools and emulation methodologies.
Experience with various systems architectures including Arm, MIPS, RISC-V, PIC, and dsPIC microprocessors.
Experience in hardware system and fabric buses such as AMBA AXI, AHB, APB.
Experience in memory subsystem architecture, design and implementation of NVRAM, SRAM, and DRAM technologies.
Experience in embedded systems technologies utilizing motor control, lighting control, ethernet, USB, security, cryptography, AI/ML, DMA, cache systems, audio and video subsystems, camera, and general communication interfaces.
Solid Unix/Linux skills with programming knowledge of Bash, Perl, Python, C, C++, YAML.
Ability to work effectively across different departments, culture, geographic, and time-zone differences is a major asset.
Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
Excellent written, verbal and communication skills in English.

Proficiency in using 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 acceleration, hardware acceleration techniques and edge computing applications.
Experience and knowledge of FPGA architectures and implementation of RTL designs in FPGA systems.
Familiar with management systems such as Polarion and Atlassian (Jira, Confluence) toolsuite.
Knowledge of security and privacy considerations in edge computing and cyber security development and analysis methods using ISO-21434 workflow requirements.
Understanding of Functional Safety Development and analysis methods using ISO-26262 workflow requirements.

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