Senior Staff Engineer, ASIC Design/Implementation - LEC/STA/Power Analysis in , United States

Develop and validate timing constraints for intricate SoC designs.

Collaborate with Architecture, RTL, DFT, and Analog teams to analyze timing complexities and develop consolidated timing modes and constraints for STA signoff.

Own and contribute to STA-related tasks, including timing ECOs for blocks and SoCs, and developing custom scripts for flow management.

Perform static timing analysis (STA) using industry-standard tools like Primetime.

Define and implement timing signoff methodologies, including process corners and uncertainties.

Resolve tool issues independently or with EDA tool vendors.

Conduct post-route timing checks and quality of results (QoR) analysis.

Automate STA processes using scripting such as Tcl or Python.

Create QoR dashboards and histograms for STA runs across all modes.

Ensure compliance with timing signoff checklists and criteria.Document best practices and lessons learned for continuous improvement.

Bachelor’s degree in Computer Science, Electrical Engineering, or related fields with 5-10 years of experience, or a Master’s/PhD with 3-5 years of experience.

Minimum of 5 years of industry experience in ASIC timing and STA.

Strong understanding of ASIC design flows from RTL to GDSII.

Skills:

Proficiency in STA tools and scripting (e.g., Tcl, Perl).

Experience with high-complexity silicon in advanced technology nodes, preferably TSMC N4/N5.

Strong understanding of timing constraint development for hierarchical designs and timing ECO creation.

Familiarity with physical design and timing optimization techniques.

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Marvell is a leading provider of semiconductor solutions that form the backbone of data infrastructure across various sectors, including enterprise, cloud, AI, and carrier architectures. The company is dedicated to fostering innovation that has a lasting impact on industries and individual lives. As the demand for advanced data center infrastructure grows, Marvell is at the forefront with its Photonic Fabric technology, which significantly enhances performance and energy efficiency in data processing.