Staff Program Manager

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Job Description:

We are seeking a highly skilled and experienced Program Manager in our Edge AI Engineering team 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 program management for 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!

Key Responsibilities:

• Manage associated work and workflow for developing AI/ML acceleration hardware and software systems in ASIC/SOC silicon platforms.

• Collaborate with hardware engineers, hardware architects, software architects, software engineers and cloud engineers to build and integrate AI/ML solutions into edge devices, ensuring high performance with low power and efficient use of memory and processing power.

• Manage schedules, milestones, product deliverables and product development functions in the silicon development workflow.

• Collaborate with software development, cloud implementation, hardware verification, DFT and physical design engineers to implement AI/ML hardware/software solutions on leading process technologies.

• Work with other Microchip business units to help manage the integration of AI/ML solutions into new vertical platforms in various process node technologies.

• Work in a team environment, developing and fostering a culture of innovation and continuous improvement.

Requirements/Qualifications:

• Bachelor's degree in Electrical Engineering, Software Engineering, Computer Engineering, or a related field.

• 12+ years of experience in program management of hardware architecture and design, with a focus on silicon development, definition, implementation, verification and testing of microprocessor-based systems.

• 5+ years of experience with Agile project management methodologies for hardware and software development.

• Experience in program management software tools such as Project, Asana, Airtable, Reetro, Atlassian tool suite (Jira, Confluence), Polarion, Git, etc.

• Experience in RTL and physical hardware design, layout, 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.

• Understanding of System Verilog UVM testing, DFT tools and emulation methodologies.

• Understanding of physical design methodologies and implementations into silicon.

• Understanding of process node technologies, analog and hard macro integration.

• Understanding of software development lifecycle and Software As A Service design methodology.

• Experience in managing software development and release to customer methodologies.

• Experience with various systems architectures such as 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.

• Solid Windows and Microsoft office skills.

• 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.

Preferred Qualifications:

• Master's degree in Electrical Engineering, Software Engineering, Computer Engineering, or a related field.

• Knowledge of AI development processes.

• 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.

• Knowledge of data collection, preprocessing, and training neural networks in data centers.

• Understanding of edge computing architectures, including IoT devices, embedded systems, and real-time processing.

• Experience with edge computing platforms and optimizing AI/ML models for resource-constrained devices.

• Familiarity with the development of AI applications for industries such as automotive, security, AR/VR, drones, audio and video processing, and robotics.

Travel Time:

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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.