Engineer II - Design

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Job Description:

Join the Design Engineering team as an Engineer II-Design, responsible for compute-in-memory neural network modeling and algorithm implementation. Support architecture development, RTL and circuit design, integration, verification, performance, power, area, documentation, and the product lifecycle.

In this role, you will independently execute defined assignments, partner with relevant technical and business stakeholders, and help deliver reliable, high-quality engineering outcomes while driving continuous improvement.

Responsibilities:

• Develop neural network models for architectures such as convolutional neural networks (CNNs), transformers, large language models (LLMs), and recurrent neural networks (RNNs) for analog compute-in-memory (ACIM) systems.
• Model variation and mismatch across ACIM components.
• Model the power, performance, and area (PPA) of ACIM solutions.
• Implement ACIM algorithms.
• Contribute to ACIM hardware architecture development.
• Coordinate with engineers across design, technology, process, and test teams to advance ACIM technology.
• Translate product specifications, neural network performance targets, and schedule needs into design requirements and plans.
• Analyze specifications, simulations, timing, power, area, integration, risks, dependencies, and technical trade-offs for ACIM solutions.

Requirements/Qualifications:

Minimum Qualifications:

• Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, Physics, or a related field.
• 2.5-5 years of experience or research in neural network modeling for compute-in-memory or neuromorphic computing.
• Knowledge of neural network architectures, such as multilayer perceptrons (MLPs), gated recurrent units (GRUs), CNNs, and small language models (sLLMs).
• Experience with neural network modeling for compute-in-memory systems.
• Strong written and verbal communication skills.

Successful candidates are expected to demonstrate:

• Reliability, accountability, and a record of sustained contributions in prior roles.
• Effective teamwork and cross-functional collaboration.
• Integrity and accuracy when representing qualifications, experience, and credentials.

Preferred Qualifications:

• PhD in Electrical Engineering, Computer Science, or a related field.
• Experience with RISC-V architecture.
• Knowledge of nonvolatile memory technologies.
• Knowledge of VLSI design flows.
• Knowledge of computer architecture.
• Experience with validation, debugging, and testing.
• Experience with CAD and design tools, such as HSPICE/HSIM, Verilog, and Cadence Design Entry.
• Knowledge of programming and scripting languages, such as Python, Tcl, C++, or SystemC.
• Knowledge of semiconductor device physics.

Travel Time:

Physical Attributes:

Physical Requirements:

Pay Range:

Benefits of working at Microchip

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.