Staff Engineer, DevOps (R&D Engineering)
Senior platform engineer responsible for designing, deploying, and operating scalable cloud and on-prem infrastructure to support AI model training and inference. You will work on the SimAI platform to improve reliability, developer velocity, and operational practices.
The role sits on an engineering platform team focused on production-grade Kubernetes, CI/CD, release automation, observability, and scaling GPU/CPU compute for unpredictable workloads.
Senior β the posting specifies 3 years of relevant experience managing complex platforms that leverage Kubernetes.
Deliver and maintain production platform infrastructure and operational practices. Key activities include:
Must-have skills and experience for the role:
Requires a software development certification as stated in the posting. No specific degree or field of study is specified.
Company: Synopsys
Headquarters: Mountain View, California, USA
Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.
