NeuraFlash, LLC
Professional, Scientific & Technical Services · Primarily MA · PERM filings 2021–2023
Overview
NeuraFlash, LLC is a Professional, Scientific & Technical Services employer that has filed 5 PERM green-card applications between FY2021 and FY2023. That places it #11,908 among all U.S. PERM sponsors in our dataset. 2 were certified (40% approval rate), taking about 361 days on average. The most-sponsored role is Computer Systems EngineersArchitects, with most worksites in MA, and the median sponsored wage is $200,000.
5
PERM filings
40%
approval
0
denied
$200,000
median wage
361d
avg processing
Worker background
Across 3 filings with beneficiary data, the most common country of origin is INDIA (100%). (From legacy PERM form data, FY2020–FY2024.)
Top countries of origin
- India3
Prior visa status
- H-1B3
Education
- Master's2
- Bachelor's1
PERM filings by year
Occupations & job titles
The occupations NeuraFlash, LLC most often sponsors, with average wages.
| Occupation | Filings | Avg wage |
|---|---|---|
| Computer Systems EngineersArchitects | 2 | $200,828 |
| Computer Systems Analysts | 1 | $170,000 |
| Information Technology Project Managers | 1 | $109,000 |
Common job titles
Worksite states
Wage range
$109,000
25th
$200,000
median
$201,656
75th
$220,000
90th
Law firms used
- Global Immigration Associates, P.C.3
- Corporate Immigration Partners, P.C.1
- Ramineni Shepard, LLC1
Recent filings
| Case | Job title | Status | Worksite | Decision |
|---|---|---|---|---|
| G-100-23226-262270 | Senior Salesforce Lead to Cash Architect | Certified - Expired | Burlington, MA | Nov 13, 2024 |
| G-100-23186-167912 | Sr. Director, Technical Architecture | Certified | Burlington, MA | Sep 21, 2024 |
| A-23020-90367 | Manager, Sr Technical Architect | Certified-Expired | Burlington, MA | Mar 7, 2024 |
| A-22234-09535 | Technical Architect | Certified | Burlington, MA | Jul 28, 2023 |
| A-21210-24226 | Chief Innovation Officer | Certified-Expired | Burlington, MA | Feb 24, 2022 |
Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.