Lead software enginner for LLM-infra
This role focuses on architecting and scaling a resilient AI platform for Cadence’s Agentic AI team, requiring deep expertise in LLM infrastructure, distributed systems, and microservices deployment. The candidate will lead technical design, performance tuning, and operational resilience for large-scale data analytics and AI workloads.
Skills required
About this role
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
