ALPHA SYNOPSYS INC
Professional, Scientific & Technical Services · Primarily MO · PERM filings 2019–2022
Overview
ALPHA SYNOPSYS INC is a Professional, Scientific & Technical Services employer that has filed 7 PERM green-card applications between FY2019 and FY2022. That places it #8,809 among all U.S. PERM sponsors in our dataset. 4 were certified (57.1% approval rate), taking about 151 days on average. The most-sponsored role is Software Developer, Applications, with most worksites in MO, and the median sponsored wage is $99,749.
7
PERM filings
57.1%
approval
0
denied
$99,749
median wage
151d
avg processing
Worker background
Across 7 filings with beneficiary data, the most common country of origin is INDIA (100%). (From legacy PERM form data, FY2020–FY2024.)
Top countries of origin
- India7
Prior visa status
- H-1B6
- L-21
Education
- Master's5
- Bachelor's2
PERM filings by year
Occupations & job titles
The occupations ALPHA SYNOPSYS INC most often sponsors, with average wages.
| Occupation | Filings | Avg wage |
|---|---|---|
| Software Developer, Applications | 3 | $100,362 |
| Computer Systems Analyst | 3 | $85,148 |
| Computer Network Architect | 1 | $108,500 |
Common job titles
Worksite states
Wage range
$90,189
25th
$99,749
median
$100,458
75th
$100,880
90th
Law firms used
- Dehai Tao, P.C.7
Recent filings
| Case | Job title | Status | Worksite | Decision |
|---|---|---|---|---|
| A-22061-18173 | Software Engineer | Certified-Expired | Chesterfield, MO | Dec 2, 2022 |
| A-21134-86819 | Systems Analyst | Certified-Expired | Chesterfield, MO | Oct 25, 2021 |
| A-21097-71196 | Systems Analyst | Certified | Chesterfield, MO | Aug 27, 2021 |
| A-21069-60467 | Systems Analyst | Certified | Chesterfield, MO | Aug 13, 2021 |
| A-20078-32099 | Systems Engineer | Certified | Chesterfield, MO | Jul 17, 2020 |
| A-19325-86228 | Software Engineer | Certified | Chesterfield, MO | Apr 17, 2020 |
| A-19191-28875 | Software Engineer | Certified-Expired | Chesterfield, MO | Oct 2, 2019 |
Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.