# Solutions Engineering, Sr Staff Engineer (DFT, RTL Design product Engineer)

**Company**: Synopsys
**Location**: Bengaluru
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Ticker**: SNPS
**Wikidata**: https://www.wikidata.org/wiki/Q2303478

**Apply**: https://careers.synopsys.com/job/bengaluru/solutions-engineering-sr-staff-engineer-dft-rtl-design-product-engineer/44408/92871142560
**Canonical**: https://yubhub.co/jobs/job_606388e5-d2c

## Description

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You are a dynamic engineer with working experience in RTL implementation, DFT/BIST, verification, flow automation, and understanding of hierarchical SoC architectures and IEEE1149/1500 and 1687 standards and pattern porting. You should have a passion for working with the best of the brains in the industry in developing end-to-end solutions and deploying them in our premier customer base.

What You'll Be Doing:

* Working closely with a world-class R&D team, you'll be at the center of developing and bringing an end-to-end solution to our wide variety of customers in the domain of Silicon Lifecycle Management (SLM) built over a robust DFT framework.
* Working closely with customers, you will bring detailed requirements into the factory to enable R&D for strong, robust, and successful product development.
* Working closely with product development team, you will validate an end-to-end solution both internally (before shipment) as well as in customer environment.
* Driving the deployment and smooth execution of SLM and Test solutions into customers' projects.
* Enabling customers to realize the value of silicon health monitoring using a robusta DFT framework throughout the lifecycle of silicon bring-up, validation, through in-field operations.

The Impact You Will Have:

* Enhancing Synopsys' Silicon Lifecycle Management (SLM) and DFT IP portfolio and end-to-end solution.
* Driving the adoption of Synopsys' SLM and DFT solutions at premier customer base worldwide.
* Influencing the development of next-generation SLM IPs and solutions.

What You'll Need:

* BSEE/MSEE in Electrical Engineering, Computer Engineering, or related field.
* 8 years of hands-on experience with DFT/BIST insertion, RTL design, and functional verification.
* Good exposure to JTAGIEEE 1149.1, IEEE 1687/1500, Testdata access mechanism.
* Knowledge on memory defectivities soft errors and reliability.
* Familiarity with error correcting codes such as Hamming and Hsiao.
* Hands-on experience in dealing with hierarchical SoCs, 1149.1/1500/1687 standards and pattern porting.

* Familiarity with either Synopsys TestMAX Tool chain or competitive offerings.
* Debugging abilities to identify and resolve issues in functional verification in UVM environment.
* Hands on experience in flow automation.
* Knowledge of Synthesis is a must with understanding of timing constraints (SDC).
* Knowledge of Lint, CDC, RDC is a plus.
* Knowledge of physical implementation is not a must, but good to have.
* Ability to evaluate technical suggestions from customers and work with internal teams (product management/R&D) to make decisions.
* Customer facing experience is a plus – educating/guiding customer on technical details of a solution.
* Good to have:
* Hands-on bring-up and debug experience of silicon is a plus.
* Architecture/micro-architecture experience.
* Understanding of GenAI and Agentic AI workflows.

## Skills

### Required
- RTL implementation
- DFT/BIST
- verification
- flow automation
- hierarchical SoC architectures
- IEEE1149/1500 and 1687 standards
- pattern porting
- Synopsys TestMAX Tool chain
- UVM environment
- Synthesis
- timing constraints (SDC)
- Lint
- CDC
- RDC

### Nice to have
- error correcting codes
- Hamming and Hsiao
- GenAI
- Agentic AI workflows