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Infrastructure And EDA Engineer
Develop and implement scalable EDA workflows for ASIC design teams
Bangalore
Senior
yesterday
Syntiant Corp.
A semiconductor company specializing in ultra-low-power deep learning processors for edge AI applications.
2 Similar Jobs at Syntiant Corp.
Infrastructure And Eda Engineer
Summary Description:
Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, has entered into an agreement to acquire a large, multi-national sensor business with global revenues in excess of $250 million per year, and is looking for an experienced and talented Infrastructure and EDA Engineer.
The Engineer will be responsible for developing and maintaining EDA tools and flows for Syntiant's ASIC teams as well as managing and upgrading the compute infrastructure.
Specific Duties And Responsibilities:
- Managing Syntiant's IT Infrastructure and related services.
- Installing, configuring, maintaining, performing upgrades and downgrades, troubleshooting, documenting infrastructure components (Windows OS, Linux OS, Storage, Backups, etc.) for both on-premises and cloud computing.
- Evaluate performance, monitor workloads, and analyze results to ensure optimal operations.
- Supporting EDA (Electronic Design Automation) environment (Cadence, Synopsys, Mentor Graphics, Pads etc.) Example: license server management and monitoring, engineering database management and mirroring, user and project environment creation and management, setup tool flows for tools from multiple vendors, IP repository management.
- Manage on-premises as well as cloud platform for EDA tool usage and IP repository
- Support internal and external EDA users
- Develop a collaborative EDA ecosystem across the company that covers not only licenses but sharing of tool expertise and experiences.
- Develop, Maintain and Migrate IP repositories and Version Control Systems.
- Develop and improve upon operational procedures and standards.
About Syntiant Corp.
A semiconductor company specializing in ultra-low-power deep learning processors for edge AI applications.