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A fast read on the main sponsorship signal before you dig into charts and tables.
AUTODESK, INC employer filing profile for FY2022, covering sponsorship activity, wage context, approval signals, and location patterns from official labor disclosures.
Employer sponsorship insight
A fast read on the main sponsorship signal before you dig into charts and tables.
AUTODESK, INC is tracked on Work Visa Insights as a visa sponsorship employer using official H1B, LCA, and related labor filing records. In the selected scope for FY2022, the employer has 366 official filings with an approval rate of 98.0%. The strongest role signals include Software Developers, Applications, Software Developers, Systems Software, Information Technology Project Managers, and Software Developers, while filing activity is most visible in San Francisco, San Rafael, Novi, and Boston. Salary records show $120,931 median salary, which is about 26.7% above the national sponsored-role benchmark. For candidates, recruiters, and immigration teams, this summary highlights sponsorship scale, salary positioning, geographic footprint, and filing consistency before deeper case-level research. Because employer names and filing categories can vary across official disclosures, Work Visa Insights normalizes the records into one employer view and updates the summary when the underlying data changes. Users can compare this employer with similar sponsors, review top roles, and inspect location-level trends to understand whether the sponsor is concentrated in one market or broadly active across the United States. This page is intended for research and benchmarking only and should not be treated as immigration or legal advice.
AUTODESK, INC shows visa sponsorship activity for FY2022 across H1B filing signals, LCA wage disclosures, and PERM green card activity. Based on public filing data, this profile summarizes 366 visible filings and highlights roles such as sponsored professional roles across locations including major U.S. work locations. Salary filings indicate a median wage of $120,931, with stronger concentrations where repeated employer, role, and worksite records appear in the data. The recent trend signal is that records span FY2020 through FY2026. Use this page to compare employer sponsorship activity, job roles, location footprint, salary benchmarks, and green card sponsorship context in one crawlable profile. The summary is generated from public USCIS and Department of Labor filing datasets.
WorkVisaInsights provides informational insights based on publicly available filing data. This is not legal advice.
Visa Sponsorship Intelligence
Employer summary
Fiscal Year 2022
Sponsor score
0.6 / 10
Approval rate
98.0%
Median salary
$120,931
Top role
Software Developers, Applications
Top city
San Francisco
AUTODESK, INC shows high sponsorship activity with 98.0% approvals and median pay of $120,931.
Salary range
$150,000 - $201,900
Use this as the likely pay band you will see across this sponsor's public filings.
Top hiring cities
San Francisco, San Rafael, Novi
The first cities shown here are where this employer appears most often in the selected scope.
Visa approval rate
98.0%
Approval rate shows how often public filings reached approval within the available dataset.
More detail
366
Observed sponsor volume in the selected scope
$120,931
Central wage signal for sponsored cases
98.0%
Share of filings that reached approval
74
Distinct hiring locations represented in filings
Everything on this page is organized around one question: is this employer a strong visa sponsor for the profile you are evaluating?
Hiring activity
High
366 filings with expanding sponsor activity.
Salary competitiveness
Strong
$120,931 median pay with above-market positioning.
Visa risk
Low
98.0% approval rate with limited visible friction.
Growth trend
Increasing
21.0% filing growth with positive sponsor momentum.
Server-rendered sponsor facts for search crawlers and quick research.
AUTODESK, INC is profiled using LCA Intelligence records for 2022.
The intelligence view combines filing volume, outcomes, wage benchmarks, and concentration signals for decision support.
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