# Applications Engineering – Sr Staff Engineer (TCAD, AI and Python)

**Company**: Synopsys
**Location**: Hyderabad
**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/hyderabad/applications-engineering-sr-staff-engineer-tcad-ai-and-python/44408/94448919696?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_afd82aee-f66

## Description

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### Applications Engineering – Sr Staff Engineer (TCAD, AI and Python)

Hyderabad, Telangana, India

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#### Category

Engineering

#### Hire Type

Employee

#### Job ID

17221

#### Date posted

05/06/2026

A peek inside our office

Po Popal

Workplace Resources, Sr Director

We Are

At Synopsys, we lead innovation in electronic design automation and semiconductor technology. Our TCAD solutions enable accurate physics-based device and process simulation for advanced semiconductor technologies. Increasingly, AI-driven methodologies and Python-based automation are transforming how simulation workflows are developed, validated, released, and scaled.

You Are

You are a technically strong and curious engineer with a solid background in TCAD and semiconductor device physics, combined with a passion for Python-based engineering automation and applied AI/ML. You enjoy working at the intersection of physics-driven simulation, data-assisted modeling, software infrastructure, and engineering productivity.

### What You’ll Be Doing

- Develop, enhance, and maintain TCAD simulation workflows for device and/or process modeling across advanced semiconductor technologies.

- Drive improvements in device physics models, process flows, and simulation engines through hands-on analysis, benchmarking, and close collaboration with core R&D teams.

- Design and implement Python-based tools, APIs, and automation frameworks to improve workflow robustness, usability, and scalability.

- Use AI and Python-based approaches to improve the efficiency, quality, and automation of the TCAD release process, including regression analysis, validation flows, and release readiness metrics.

- Collaborate with cross-functional teams to translate engineering requirements into production-quality software solutions.

### The Impact You Will Have

- You will directly influence the next generation of TCAD tools by improving simulation accuracy, performance, and usability through AI-driven innovation and Python automation.

- Enable more robust and efficient TCAD releases using data-driven validation and automated regression workflows.

- Influence the evolution of TCAD tools toward modern, scalable, AI-enhanced platforms.

- Accelerate adoption of advanced TCAD capabilities across internal teams and customers.

### What You’ll Need

- MS or PhD in Electrical Engineering, Physics, Materials Science, Computer Science, or equivalent.

- 5+ years of industry experience in TCAD, semiconductor device physics, or process simulation.

- Strong proficiency in Python for scientific computing, automation, and tooling.

- Experience applying AI/ML techniques to engineering workflows.

- Strong analytical thinking, problem-solving ability, and communication skills.

### Nice to Have

- Experience applying ML frameworks to scientific or engineering problems.

- Exposure to EDA tool development or semiconductor R&D environments.

- Experience supporting large-scale validation or release processes.

### The Team You’ll Be A Part Of

You will join a highly skilled TCAD team advancing simulation technology through physics-based models and AI-enhanced methodologies, working closely with product development, applications, and research teams worldwide.

## Skills

### Required
- Python
- TCAD
- AI
- ML
- semiconductor device physics
- process simulation

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Source: [Apply at careers.synopsys.com](https://careers.synopsys.com/job/hyderabad/applications-engineering-sr-staff-engineer-tcad-ai-and-python/44408/94448919696?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)