# Synopsys — Hiring Intelligence

> Generated: 2026-05-05 · Source: <https://yubhub.co/companies/synopsys> · API: <https://api.yubhub.co/stats/company/synopsys>

## Profile

- **Industry:** software industry
- **HQ:** Mountain View
- **Headcount:** 28,000
- **Ticker:** SNPS
- **Website:** <https://www.synopsys.com/>

## Hiring trajectory

- **Total enriched roles:** 650
- **26-week trend:** accelerating (week-over-week -80%)
- **14-day momentum:** 286 recent vs 0 prior · stable (+0%)
- **Market share:** 58% of industry (1,121 jobs across 2 companies) — rank 1

## Where the hiring is

| Category | Postings |
| --- | ---: |
| engineering | 571 |
| sales | 40 |
| finance | 8 |
| it | 7 |
| operations | 6 |
| legal | 4 |
| hr | 2 |
| marketing | 1 |

## Geographic distribution

| Region | Postings | Share |
| --- | ---: | ---: |
| Unknown | 206 | 33.1% |
| India | 206 | 33.1% |
| United States | 90 | 14.4% |
| APAC | 48 | 7.7% |
| EU | 41 | 6.6% |
| Canada | 21 | 3.4% |
| United Kingdom | 6 | 1% |
| Middle East | 2 | 0.3% |

### Emerging hubs (last 30 days)

- **United States:** 51 recent vs 26 prior (+96%)

### Shrinking hubs (last 30 days)

- **APAC:** 11 recent vs 24 prior (-54%)
- **EU:** 6 recent vs 22 prior (-73%)

## Disproportionate skills (Location Quotient vs industry peers)

LQ = (this company's share of postings with skill X) ÷ (peer industry's share of the same skill). Values >1 mean over-indexed; >2 means twice as common as peers.

| Skill | Postings | This company % | Peer industry % | LQ | Required % |
| --- | ---: | ---: | ---: | ---: | ---: |
| Scripting Languages | 28 | 4.3% | 0.2% | 20.29 | 71% |
| Scripting | 17 | 2.6% | 0.2% | 12.32 | 82% |
| Linux | 13 | 2% | 0.2% | 9.42 | 69% |
| Ai/ml | 13 | 2% | 0.2% | 9.42 | 62% |
| Git | 13 | 2% | 0.2% | 9.42 | 100% |
| Debugging | 12 | 1.8% | 0.2% | 8.70 | 83% |
| Shell | 9 | 1.4% | 0.2% | 6.52 | 78% |
| Version Control Systems | 8 | 1.2% | 0.2% | 5.80 | 88% |
| Engineering | 8 | 1.2% | 0.2% | 5.80 | 88% |
| Excel | 8 | 1.2% | 0.2% | 5.80 | 100% |
| Problem-solving | 21 | 3.2% | 0.6% | 5.07 | 52% |
| Organizational Skills | 7 | 1.1% | 0.2% | 5.07 | 100% |
| Computer Science | 5 | 0.8% | 0.2% | 3.62 | 60% |
| Software Development | 14 | 2.2% | 0.6% | 3.38 | 100% |
| Mentoring | 9 | 1.4% | 0.4% | 3.26 | 56% |

## Salary positioning (USD, midpoint)

- **Company median:** $202,500 (43th percentile of industry)
- **Industry median:** $206,500 (sample n=66)
- **Disclosure:** 10% of company roles disclose salary vs 8% across industry

> ⚠️ Salary disclosed on fewer than 20% of roles — sample is small, treat ranges as indicative.

## Posting dynamics

- **Median days open (closed roles):** 39 (industry: 32)
- **Long-open postings (>90d still active):** 48
- **Closure rate (last 90d):** 40%

## Executive-level hires

- **Last 30 days:** 10 exec/director-level postings
- **Prior 90-day average:** 1.7 per 30-day window
- **Growth:** +488%

### Notable exec roles (recent)

- **Technical Product Manager, Director** _(posted 2026-04-29)_
- **Senior Director, Engineering** — Bengaluru _(posted 2026-04-29)_
- **Product Management, Director** — Sunnyvale _(posted 2026-04-25)_
- **Applications Engineering, Sr Director-Formal Verification** — Bengaluru _(posted 2026-04-24)_
- **Director– EDA Applications Engineering Graduate Program (Emulation & Prototyping)** — Sunnyvale _(posted 2026-04-24)_

## AI exposure

- **Occupation-weighted score:** 0.156 (0 = manual / low automation, 1 = high automation potential)
- **Skill-weighted score:** 0.357

### Most-exposed roles

- **Analog Design, Staff Engineer** — 11 postings, score 0.145
- **Layout Design, Sr Engineer** — 9 postings, score 0.075
- **Applications Engineering, Staff Engineer** — 9 postings, score 0.145
- **Layout Design, Staff Engineer** — 8 postings, score 0.145
- **R&D Engineering, Staff Engineer** — 6 postings, score 0.145

## Peer set

| Company | Postings | Similarity | Momentum |
| --- | ---: | ---: | --- |
| [Databricks](https://yubhub.co/companies/databricks) | 471 | 43% | decelerating |

## Strategic themes

_Strategy briefs are generated weekly by an LLM analysis of the company's posting tag distribution. This section will populate once Phase 4 of the company-intelligence pipeline ships._

## Methodology & sources

- **Last enriched:** 2026-03-20T16:27:00.861Z
- **Company-data sources:** wikidata, fmp, news
- **Job-data refresh:** continuous (queue pipeline). Aggregations cached at the edge for up to 24 hours.
- **Caveats:** salary parser uses simple FX (snapshot 2024 rates); long-tail location strings may bucket as "Unknown"; AI-exposure scores derive from O*NET 30.2 + Anthropic Economic Index 2026-03-24.

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Data: <https://api.yubhub.co/stats/company/synopsys>