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Salary
$31k – $75k per year (Estimated)
Location
In office (Shanghai)
Seniority
Staff · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Cadence Design Systems is an American software company founded in 1988 that supplies the electronic design automation tools engineers use to design and verify integrated circuits. Its products cover digital synthesis and place-and-route, custom and analogue design, circuit simulation with the Spectre and Virtuoso families, functional verification, and increasingly system-level analysis for packaging, thermal behaviour and computational fluid dynamics. Headquartered in San Jose and listed on Nasdaq, it also licenses design intellectual property such as processor and interface blocks, and competes primarily with Synopsys and Siemens EDA.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

If you are an engineer who enjoys an exciting, fast-moving environment and daily technical challenges as much as we do, the Agentic AI team will be a great fit for you.

We are looking for an LLM/ML ops/developer who will be a key contributor in building a scalable and resilient data analytics/AI platform.

Key Qualifications

  • Experience running and working with LLM/ML/big data, such as Langchain, NIM, Spark, etc.
  • Experience working with and deploying containers and other microservice architectures
  • Able to translate requirements into both high-level and detailed architectures
  • Solid experience about architecture design, performance tuning
  • In-depth understanding of data structures, algorithms, and distributed systems
  • Development experience in Python, C++
  • Solid understanding of database fundamentals, with high proficiency in SQL
  • Enthusiastic, highly motivated, and able to work collaboratively
  • In-depth understanding of various technologies and frameworks with ability to combine into practical solutions

Education & Experience

  • BS degree in Computer Science or related field, 5+ years of industry experience
  • MS degree in Computer Science or related field, 3+ years of industry experience

We’re doing work that matters. Help us solve what others can’t.

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