Green Card Distinguished Engineer Jobs
Distinguished Engineer jobs with green card sponsorship require employers to complete PERM labor certification with the Department of Labor, file an I-140 petition with USCIS, and demonstrate that no qualified U.S. worker was available. EB-2 is the standard pathway for advanced-degree professionals in this role, though per-country backlogs apply.
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As a Distinguished Engineer, you will serve as a hands-on technical leader driving the next generation of Data Engineering capabilities, including Data Governance, Enterprise Data products and access enforcement across cloud and AI-powered data products.
You will define and help execute the long-term technical vision for the Data Engineering ecosystem, enabling scalable and intelligent access to capabilities for both human and non-human actors, including services, automations, and AI agents.
This role combines deep technical expertise with the ability to influence engineering direction through implementation, mentorship, innovation, and company-wide technical leadership. You will play a critical role in accelerating strategic initiatives, incubating greenfield capabilities, and modernizing engineering practices through AI-assisted software development workflows.
You will operate across organizational boundaries to drive alignment, influence platform adoption, and help teams converge on data engineering solutions that serve long-term company goals. Success in this role requires strong technical judgment, the ability to influence without direct authority, and a pragmatic approach to balancing local team needs with broader platform and business priorities.
This role is expected to drive outcomes with impact across multiple data organizations and strategic company initiatives.
This role is ideal for a deeply technical leader who wants to combine hands-on engineering, platform innovation, and AI-driven development practices to shape the future of how data products are built and accessed.
You will help define both the data engineering platform capabilities and the engineering practices that enable the next generation of cloud and AI-powered experiences—while influencing technical direction and engineering strategy across the company at enterprise scale.
Responsibilities
- Lead the design and implementation of Data Products supporting cloud, API, and AI-driven access to data products
- Drive the development of greenfield initiatives and foundational platform capabilities through hands-on prototyping and implementation
- Serve as a technical accelerator across teams by contributing directly to critical projects and resolving complex engineering challenges
- Champion adoption of AI-assisted software development practices, including effective use of tools such as Claude Code to improve engineering productivity, software quality, and delivery velocity
- Establish best practices for integrating AI-assisted workflows into software design, implementation, testing, and operational support
- Design systems supporting access decisions for both human and non-human actors, including services, automations, and AI agents
- Build highly scalable, low-latency, and resilient distributed systems with strong operational excellence
- Influence technical direction across multiple engineering organizations to drive adoption of shared platform capabilities, standards, and engineering practices
- Build strong partnerships across engineering, product, security, and business teams while constructively challenging decisions when needed to ensure long-term scalability and company-wide alignment
- Act as a company-level technical leader, making decisions and recommendations based on what delivers the greatest overall customer and business impact
- Partner deeply with Product Management to shape product capabilities, monetization models, platform evolution, and long-term strategy
- Mentor engineers through hands-on collaboration, code reviews, architecture guidance, and technical leadership
- Evaluate emerging technologies and translate them into practical engineering capabilities and strategic advantages for the organization
- Influence engineering culture by promoting simplicity, developer experience, operational excellence, scalable architectures, and high-quality execution
Minimum Qualifications
- 12+ years of experience building large-scale data lakes, data warehouses, and platform services
- Strong hands-on software engineering background with the ability to contribute directly to architecture, design, and implementation
- Deep expertise in cloud-native architectures; data engineering, modeling, and governance; microservices and API design; and scalability, reliability, and operational excellence
- Recognized technical expertise in distributed systems and platform engineering
- Demonstrated ability to shape engineering direction through technical vision, innovation, and influence
- Strong experience driving engineering productivity improvements through modern tooling and developer platform investments
- Practical experience leveraging AI-assisted software development workflows and tools such as Claude Code, GitHub Copilot, Cursor, or similar technologies in real-world engineering environments
- Familiarity with AI-enabled product patterns, agentic workflows, and API-driven consumption models
- Proven ability to influence technical strategy and drive alignment across multiple organizations without direct authority
- Strong executive communication and stakeholder management skills, with the ability to navigate complex organizational and technical tradeoffs
- Demonstrated ability to balance short-term delivery pressures with long-term platform and architectural sustainability
- Strong product and business acumen, with the ability to align technical decisions with customer and business outcomes
Preferred Qualifications
- Experience building platform services used across multiple engineering organizations
- Exposure to developer platforms, internal tooling, or engineering productivity initiatives
- Experience with cloud-native data platforms such as Snowflake or Databricks
- Experience with Kubernetes, event-driven architectures, and modern cloud platforms such as AWS, Azure, or GCP
- Exposure to AI/ML-enabled products and modern AI application architectures
- Experience driving enterprise-scale platform adoption and technical convergence initiatives
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $196,000 and $352,110. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.
Position Overview
As a Distinguished Engineer, you will serve as a hands-on technical leader driving the next generation of Data Engineering capabilities, including Data Governance, Enterprise Data products and access enforcement across cloud and AI-powered data products.
You will define and help execute the long-term technical vision for the Data Engineering ecosystem, enabling scalable and intelligent access to capabilities for both human and non-human actors, including services, automations, and AI agents.
This role combines deep technical expertise with the ability to influence engineering direction through implementation, mentorship, innovation, and company-wide technical leadership. You will play a critical role in accelerating strategic initiatives, incubating greenfield capabilities, and modernizing engineering practices through AI-assisted software development workflows.
You will operate across organizational boundaries to drive alignment, influence platform adoption, and help teams converge on data engineering solutions that serve long-term company goals. Success in this role requires strong technical judgment, the ability to influence without direct authority, and a pragmatic approach to balancing local team needs with broader platform and business priorities.
This role is expected to drive outcomes with impact across multiple data organizations and strategic company initiatives.
This role is ideal for a deeply technical leader who wants to combine hands-on engineering, platform innovation, and AI-driven development practices to shape the future of how data products are built and accessed.
You will help define both the data engineering platform capabilities and the engineering practices that enable the next generation of cloud and AI-powered experiences—while influencing technical direction and engineering strategy across the company at enterprise scale.
Responsibilities
- Lead the design and implementation of Data Products supporting cloud, API, and AI-driven access to data products
- Drive the development of greenfield initiatives and foundational platform capabilities through hands-on prototyping and implementation
- Serve as a technical accelerator across teams by contributing directly to critical projects and resolving complex engineering challenges
- Champion adoption of AI-assisted software development practices, including effective use of tools such as Claude Code to improve engineering productivity, software quality, and delivery velocity
- Establish best practices for integrating AI-assisted workflows into software design, implementation, testing, and operational support
- Design systems supporting access decisions for both human and non-human actors, including services, automations, and AI agents
- Build highly scalable, low-latency, and resilient distributed systems with strong operational excellence
- Influence technical direction across multiple engineering organizations to drive adoption of shared platform capabilities, standards, and engineering practices
- Build strong partnerships across engineering, product, security, and business teams while constructively challenging decisions when needed to ensure long-term scalability and company-wide alignment
- Act as a company-level technical leader, making decisions and recommendations based on what delivers the greatest overall customer and business impact
- Partner deeply with Product Management to shape product capabilities, monetization models, platform evolution, and long-term strategy
- Mentor engineers through hands-on collaboration, code reviews, architecture guidance, and technical leadership
- Evaluate emerging technologies and translate them into practical engineering capabilities and strategic advantages for the organization
- Influence engineering culture by promoting simplicity, developer experience, operational excellence, scalable architectures, and high-quality execution
Minimum Qualifications
- 12+ years of experience building large-scale data lakes, data warehouses, and platform services
- Strong hands-on software engineering background with the ability to contribute directly to architecture, design, and implementation
- Deep expertise in cloud-native architectures; data engineering, modeling, and governance; microservices and API design; and scalability, reliability, and operational excellence
- Recognized technical expertise in distributed systems and platform engineering
- Demonstrated ability to shape engineering direction through technical vision, innovation, and influence
- Strong experience driving engineering productivity improvements through modern tooling and developer platform investments
- Practical experience leveraging AI-assisted software development workflows and tools such as Claude Code, GitHub Copilot, Cursor, or similar technologies in real-world engineering environments
- Familiarity with AI-enabled product patterns, agentic workflows, and API-driven consumption models
- Proven ability to influence technical strategy and drive alignment across multiple organizations without direct authority
- Strong executive communication and stakeholder management skills, with the ability to navigate complex organizational and technical tradeoffs
- Demonstrated ability to balance short-term delivery pressures with long-term platform and architectural sustainability
- Strong product and business acumen, with the ability to align technical decisions with customer and business outcomes
Preferred Qualifications
- Experience building platform services used across multiple engineering organizations
- Exposure to developer platforms, internal tooling, or engineering productivity initiatives
- Experience with cloud-native data platforms such as Snowflake or Databricks
- Experience with Kubernetes, event-driven architectures, and modern cloud platforms such as AWS, Azure, or GCP
- Exposure to AI/ML-enabled products and modern AI application architectures
- Experience driving enterprise-scale platform adoption and technical convergence initiatives
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $196,000 and $352,110. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.
See all 54+ Green Card Distinguished Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Distinguished Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Distinguished Engineer
Document your specialized contributions before applying
Gather performance reviews, patents, publications, and architecture decision records that demonstrate work beyond a standard senior engineer scope. PERM audits for Distinguished Engineer roles often scrutinize whether the job requirements are genuinely tied to business necessity, so your credentials need to match the posted duties precisely.
Use OFLC Wage Search to verify your wage tier
Distinguished Engineer roles frequently fall at DOL wage Level III or IV. Confirm your offered salary meets or exceeds the prevailing wage before your employer files PERM, because a wage that undershoots the determination invalidates the certification and forces a restart.
Target employers with I-140 approval history
Find employers who have previously sponsored professionals through the full EB-2 or EB-3 pipeline, not just H-1B visa holders. Migrate Mate surfaces verified green card sponsorship history by employer and occupation, so you can prioritize companies that have already navigated the I-140 process for similar roles.
Understand how O*NET defines this occupation
Review the O*NET profile for Distinguished Engineer or the closest matching SOC code before your employer drafts the PERM job description. Duties listed in the posting must align with the occupation definition; mismatches give DOL grounds to audit or deny the application.
File your I-485 as early as your priority date allows
If you're a national of a country with a backlogged EB-2 category, ask your employer to file the I-485 concurrently with the I-140 as soon as a visa number becomes available. Concurrent filing lets you apply for an Employment Authorization Document and preserve AC21 portability rights once the I-485 has been pending 180 days.
Negotiate a written employer commitment before the PERM recruitment window
PERM requires your employer to run a mandatory recruitment test before DOL will certify the application. Confirm in writing that the employer will begin the PERM process at a defined date after your start, because delays in initiating recruitment extend the overall green card timeline by months.
Green Card Distinguished Engineer: Frequently Asked Questions
What green card category covers Distinguished Engineer roles?
Most Distinguished Engineer positions qualify under EB-2, which covers professionals holding an advanced degree or a bachelor's degree plus at least five years of progressive experience in the specialty. If the role requires only a bachelor's degree and two or more years of experience, EB-3 professional is also available. Your employer's immigration counsel typically chooses the category that best matches the job requirements and your credentials.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B is a temporary nonimmigrant status tied to a specific employer and subject to an annual lottery. Green card sponsorship through EB-2 or EB-3 leads to lawful permanent residence with no renewal requirement. The employer must complete PERM labor certification with the Department of Labor, which includes a prevailing wage determination and a formal recruitment test to show no qualified U.S. worker was available, before filing the I-140 petition with USCIS. Per-country numerical limits mean nationals of high-demand countries can face priority-date backlogs.
How do I find employers who sponsor the green card for Distinguished Engineers?
Search Migrate Mate to identify employers with verified EB-2 and EB-3 sponsorship history for engineering roles. Because PERM requires employers to run documented recruitment, companies that have completed the process before are far more likely to do so again. Focus on employers in sectors with established immigration programs, such as large technology firms, defense contractors, and cloud infrastructure companies.
What happens to my green card case if I change jobs after my I-140 is approved?
Once your I-485 has been pending for 180 days or more and your original I-140 was approved, AC21 job portability allows you to change to the same or a similar occupation without abandoning the green card case. Your new employer does not need to restart PERM. You can also ask your new employer to file a fresh I-140 and request that USCIS honor your original priority date, preserving your place in the queue.
Can my employer sponsor me for EB-2 without a master's degree?
Yes. EB-2 allows a bachelor's degree plus five years of progressive post-degree experience in the specialty to substitute for an advanced degree. For a Distinguished Engineer role, your employer must demonstrate that the position genuinely requires this level of expertise and that your experience record supports the EB-2 petition. USCIS reviews the progression of your responsibilities, not just the total years of employment.