
Samsung Group is a South Korean multinational manufacturing conglomerate headquartered in the Samsung Town office complex in Seoul
SOC Physical Design and STA Methodology Engineer
Position Summary
About Samsung Semiconductor India Research (SSIR)
With a wide range of industry-leading semiconductor solutions, we are enabling innovative growth in market segments in component solutions, featuring industry-leading technologies in System LSI, Memory and Foundry. Our engineers are offered a foundation to work on cutting-edge technologies such as Foundation IP Design, Mobile So Cs, Storage Solutions, AI/ML, 5G/ 6G solutions, Neural processors, Serial Interfaces, Multimedia IPs and much more.
As one of the largest R&D centers outside Korea for Samsung Electronics, we take pride in our ability to work on some of the cutting edge technologies. Our engineers get to work across diverse domains, projects, products, clients, people and countries, and conduct research in new and emerging technology areas. Innovation and creativity are highly valued at this innovation hub, as we strive towards providing high reliability; high performance and value added services that enable Samsung Electronics deliver world-class products.
Role and Responsibilities Roles and Responsibilities
Experience in SoC Physical Design with proven track record in flow and methodology development (not just block implementation)
- Expert in scripting for EDA automation: Python (preferred), Tcl, Perl, UNIX shell
- Deep hands-on experience with PnR and Signoff tools: Synopsys (Fusion Compiler, Prime Time, ICV, Formality) and/or Cadence (Innovus, Genus, Voltus, Tempus)
- Developed production-grade PnR flows for partition and Chip Top level designs including power planning, placement, optimization, and routing
- Strong STA fundamentals: Constraints (SDC) development, timing debug, OCV/POCV derates, PVT corners, and ECO flows
- Experience in low power and multi-voltage designs: UPF, power gating, voltage islands
- Built automation utilities for PnR execution, signoff analysis, and ECO implementation
- Solid understanding of libraries, cell architectures, and technology files for optimization and ECO stages.
- Experience with AI-driven optimization tools (DSO.ai, Cerebrus)
- Advanced ECO tool expertise (Tweaker, Prime Closure)
- Formal verification (LEC) methodology experience
- Hierarchical STA and chip-top integration experience
- DTCO and advanced node (3nm, 2nm) exposure
- Debug, enhance, and release PnR and STA signoff flows for multiple projects and process nodes
- Develop utilities and automation to improve PPA, runtime, and ease of use for design teams
- Support partition and full-chip design teams on complex convergence issues, timing closure, and DRC fixing
- Explore and deploy new EDA capabilities and PPA optimization recipes to production flows
- Document flows, create regression tests, and train design teams on methodology best practices
Skills and Qualifications Experience – 5 to 8 Years
Qualifications
- B.Tech/B.E/M.Tech/M.E
Disclaimer
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Samsung Semiconductor India Research (SSIR), a division of Samsung R&D India
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Bangalore Pvt. Ltd is dedicated to employing a diverse workforce and providing Equal Employment Opportunity to all individuals, regardless of their religion, gender, age, marital status, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
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Samsung 소개

Samsung
PublicA technology company that engages in consumer electronics, IT and mobile communications, and device solutions.
10,001+
직원 수
Seoul
본사 위치
$267B
기업 가치
리뷰
10개 리뷰
4.0
10개 리뷰
워라밸
3.2
보상
3.5
문화
4.1
커리어
3.0
경영진
3.4
72%
지인 추천률
장점
Great team culture and collaborative atmosphere
Innovative projects and learning opportunities
Good work-life balance and flexible hours
단점
Long hours and heavy workload
High stress and tight deadlines
Fast-paced environment can be overwhelming
연봉 정보
22개 데이터
Senior/L5
Senior/L5 · Digital Transformation Manager
1개 리포트
$180,827
총 연봉
기본급
$157,414
주식
-
보너스
-
$180,827
$180,827
면접 후기
후기 4개
난이도
3.0
/ 5
소요 기간
14-28주
합격률
25%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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