Job Description
Work with Front-End design team physical design team fsuper large-scale SoC chip physical implementation from RTL to GDS. Focus on physical design of deep sub-micron ultra large chip including block chip level synthesis, floorplan, place route, timing closure, physical verification, EM/IR signoff checks etc. The individual is expected to be an expert in multiple aspects in PD areas provide technically leadership to the engineering team.
Job Requirement
1. Hands on experience in super large-scale SoC chip physical design, especially experience in 7nm FinFet technology high-speed design implementation.
2. Solid knowledge rich experience on synthesis, floorplan, place, CTS routing, static timing analysis, EM/IR-drop physical verification.
3. Project experience on hierarchical flow such as top-level partition, timing budgeting, pin assignment Power Network Planning etc
4. Expertise with Synopsys/Cadence/MentEDA tools
5. Familiar with Unix/Linux environment good at scripts
6. A high-level of self-motivation a proactive approach to solving problems.
7. Good communication skills, strong interpersonal skills the flexibility
8. Dedicated, hardworking, good team player
更新于 2025-12-26
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Amazon Global Selling has been helping individuals businesses increase sales reach new customers around the globe. Today, more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible frecruiting local businesses to sell on Amazon’s 19+ overseas marketplaces supporting local Sellers’ success growth on the Amazon. Our vision is to be the first choice fall types of Chinese business to go globally.
The Amazon Global Selling Analytics, Intelligence, Technology (AGS-AIT) team serves as the research, automation, insight arm of the International Seller Service data hub, enabling rapid delivery of growth insights through strategic investments in regional data foundations, self-service business intelligence solutions, artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGSganization while maintaining excellence in business insight generation, self-service BI/AI application development.
AGS-AIT is looking fa Data Engineer to collaborate with cross-functional teams to design develop data infrastructure analytics capabilities fAGS AI Automation initiatives.
Key job responsibilities
? Design implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, storage, supporting both real-time offline analytics needs.
? Develop automated data monitoring tools interactive dashboards to enhance business teams’ insights core metrics (e.g., user behavior, AI model performance).
? Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), build a unified data layer.
? Establish data standardization governance policies to ensure consistency, accuracy, compliance.
? Provide structured data inputs fAI model training inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
Basic qualifications
1+ years of data engineering experience
Experience with data modeling, warehousing building ETL pipelines
Experience with one more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one more scripting language (e.g., Python, KornShell)
Preferred qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM roles permissions
更新于 2026-01-26
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