AI Senior Staff Systems Engineer
Cadence Design Systems · San Jose, CA
About this role
Cadence Design Systems is hiring a senior-level AI Infrastructure Engineer in the machine learning function based in San Jose, CA. The posting calls out experience with Python, Bash, CUDA, GCP. Compensation is listed at $136,500–$253,500 per year.
- Role
- AI Infrastructure Engineer
- Function
- machine learning
- Level
- senior
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Jose, CA
- Posted
- May 11, 2026
More roles at Cadence Design Systems
Job description
from Cadence Design Systems careersAt Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
We are seeking a highly skilled and experienced AI Systems Engineer to join our team. This is a hands-on, senior individual contributor role that will be pivotal in leading the development, operations, and support of our entire AI infrastructure. You will be responsible for the entire lifecycle of our AI systems, from architecting and building high-performance GPU clusters to deploying and optimizing our most advanced AI models and agentic services.
Responsibilities
AI Infrastructure Architecture & Strategy: Lead the design and implementation of our next-generation AI infrastructure to support our Agentic AI initiatives. You will define the technical strategy for our on-premise GPU clusters, storage solutions, and networking to ensure optimal performance, scalability, and reliability for all our AI workloads.
Cloud AI Service Integration: Support and secure the use of public cloud AI services, including Azure OpenAI services and Google Cloud Platform (GCP) services like Gemini. This includes managing secure access, monitoring usage, and tracking billing to ensure cost-effectiveness. You will also have hands-on experience supporting compute, GPUs, and AI services on both GCP and Azure.