Technical Staff Engineer - Design at Microchip Technology Inc.

Chandler, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Verilog, SystemVerilog, VHDL, Chiplet Architecture, FinFET Technology, EDA Tools, Python, Tcl, Perl, 2.5D Integration, RTL Design, Synthesis, Physical Implementation, UCIe, Edge AI, Hardware Description Languages

Industry

Semiconductor Manufacturing

Description

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-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: Microchip Technology's MCU Business Unit is at the forefront of Edge AI innovation, delivering production-ready, full-stack solutions that bring intelligent real-time decision-making to industrial, automotive, data center, and consumer IoT networks. We are seeking an experienced Technical Staff Engineer to drive chiplet-based architecture definition and advanced-node product research for our next-generation microcontrollers. This senior-level role will work closely with the other business units and cross-functional teams to align chiplet definitions with platform, technology, and product requirements. As chiplet technology revolutionizes semiconductor design by enabling smaller, specialized dies to be co-packaged for enhanced performance and reduced manufacturing costs, this role will be instrumental in defining architectures that optimize power, performance, area, and cost for MCU-class edge AI applications. Key Responsibilities Define and drive chiplet-based architectures for edge AI microcontroller platforms, including specification of chiplet boundaries, interfaces, power domains, and integration strategies that optimize for cost, performance, and manufacturability. Collaborate closely with the analog business unit to align on chiplet definitions, die-to-die interface specifications, packaging requirements, and integration roadmaps ensuring consistency across platform and product lines. Perform comprehensive architectural trade-off analysis to optimize power, performance, area, and cost for MCU-class products, utilizing modeling, simulation, and benchmarking to validate design decisions against product requirements. Conduct advanced-node product research, feasibility studies, and technology definition activities including evaluation of process capabilities, design rule impacts, and technology-specific optimization opportunities for edge AI workloads. Develop and optimize end-to-end advanced-node design flows for high-volume MCU products, working with EDA vendors and internal CAD teams to establish robust methodologies for synthesis, placement, routing, timing closure, and verification. Work cross-functionally with AI accelerator, CPU core, memory subsystem, embedded software, advanced packaging, and manufacturing teams to ensure holistic system optimization and successful product delivery. Support architecture reviews, technical alignment meetings, and product definition milestones by preparing technical presentations, documentation, and recommendations for executive and engineering audiences. Provide technical leadership and mentorship to junior engineers within the MCU and Edge AI engineering teams, fostering a culture of innovation, technical excellence, and continuous learning. Requirements/Qualifications: Required Qualifications Bachelors Degree in Electrical or Computer Engineering (or similar degree), Masters Degree preferred. Minimum of 10+ years of relevant experience with Verilog/SystemVerilog and/or VHDL. Strong knowledge of chiplet-based or modular architectures and system-level integration, including understanding of die-to-die interconnect standards and 2.5D integration techniques. Hands-on experience with advanced-node FinFET technology nodes and associated design flows. Possess excellent analytical and problem-solving skills. Excellent communication and documentation skills (verbal and written). Proficiency with EDA tools for architecture exploration, RTL design, synthesis, and physical implementation. Experience with hardware description languages (Verilog, SystemVerilog, VHDL) and scripting languages (Python, Tcl, Perl) for design automation. Preferred Qualifications Experience working with cross-business-unit teams on shared IP, chiplet definitions, or platform architectures. Background in edge AI acceleration, digital signal processors, or embedded machine learning inference engines. Proven track record in high-volume, cost-sensitive MCU product development from architecture definition through production. Familiarity with silicon bring-up, validation, debug, and production lifecycle support activities. Knowledge of UCIe (Universal Chiplet Interconnect Express) or other chiplet interface standards and their implementation. Experience with advanced nodes (e.g., 7nm-class and beyond) and roadmap planning. Travel Time: 0% - 25% Physical Attributes: Hearing, Seeing, Talking, Works Alone, Works Around Others Physical Requirements: 90% Sitting, 10% Standing/Walking 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. At Microchip, employees are our greatest strength. As one of the top performing semiconductor companies in the world, we are led by a set of guiding values and a mission to empower innovation to enhance the human experience. We work tirelessly to create a company culture that highlights how important every employee is to our mission. Microchip Recruitment Privacy Notice Recruitment Scam Alert Microchip will never: Request banking or payment information during the application or interview process. Ask candidates to register or pay for a training class as part of the application or interview process. Ask candidates to receive or ship packages or goods as part of the recruitment process. Use email address not ending with "@microchip.com". Use instant messaging to communicate. Be wary of generic emails or vague job details. If something feels suspicious, stop communicating immediately. To report potential scams, contact us at HR.Compliance@microchip.com.

Responsibilities

Drive the definition of chiplet-based architectures and advanced-node product research for next-generation edge AI microcontrollers. Collaborate cross-functionally to optimize power, performance, area, and cost while providing technical leadership to junior engineers.