Lead software enginner for LLM-infra
At a glance
Senior AI Engineering role at Cadence. Shanghai · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build a data analytics and AI platform designed to scale and remain resilient
- Deploy containerized services and microservice architectures for LLM, ML or big-data systems
- Turn requirements into system architectures, then tune designs for performance
What you bring
- A computer science degree or related education, plus five years of industry work with a bachelor's or three with a master's
- Hands-on work with LLM, ML or big-data systems, along with container deployment experience
- You can design architectures, tune performance, and code in Python or C++ with strong SQL skills
Who this fits
This senior engineering role suits someone who enjoys daily technical challenges and can collaborate with others. The position is based in Shanghai.
From the employer
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