AI System Architect

TSMC - Taiwan Semiconductor Manufacturing Company Limited; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

TSMC - Taiwan Semiconductor Manufacturing Company Limited is seeking a talented engineer to drive chip innovation by optimizing the pre-silicon design flow. Responsibilities include developing integration of compute-in-memory technologies, collaborating with customers, and co-designing hardware and software architectures.

The ideal candidate will hold a Master’s degree in Electrical Engineering or a related field and possess over 5 years of experience in circuit and logic design for embedded memory technologies.

Qualifikationen

• Over 5 years of experience in circuit and logic design for embedded memory technologies.
• Proficiency with EDA tools and methodologies for custom or digital design.

Aufgaben

• Develop integration of compute-in-memory to neural engine.
• Work closely with customers on STCO.
• Co-design hardware and software architectures to maximize efficiency.
• Integrate technology-specific insights into system-level decision-making.
• Achieve synergy across energy efficiency and computational throughput.

Kenntnisse

Circuit and logic design

EDA tools proficiency

AI algorithms knowledge

Ausbildung

Master’s degree in Electrical Engineering or related field

Jobbeschreibung

Your work will enable chip innovation possible by developing and optimizing all aspects in the pre-silicon design flow, including:

Responsibilities

• Develop integration of compute-in-memory to neural engine.
• Work closely with our customers on STCO.
• Co-design of hardware and software architectures to maximize efficiency.
• Integrate technology-specific insights into system-level decision-making.
• Achieve synergy across various aspects, such as energy efficiency, computational throughput, thermal management, and manufacturability.

Qualifications

• A Master’s degree or higher in Electrical Engineering or a related field.
• Over 5 years of experience in circuit and logic design for embedded memory technologies. Experience in compute-in-memory or AI algorithms is considered a strong advantage.
• Proficiency with EDA tools and expertise in design methodologies for custom or digital design in the field of non-volatile memory.

Only the applications relevant to the criteria above will be taken for further consideration.