Hpc Engineer Green Card Jobs
HPC engineer roles at U.S. national labs, research universities, and cloud infrastructure companies regularly qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification. Employers file the I-140 immigrant petition after DOL certifies the role, putting you on a path to permanent residency rather than repeated visa renewals.
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INTRODUCTION
Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we’re transforming how products are developed—through intelligent automation, applied AI, data management, and the integration of the world’s largest network of engineering and R&D applications. Joining Rescale means becoming part of a diverse, collaborative, and mission-driven team that’s unlocking faster innovation across industries like aerospace, energy, life sciences, and manufacturing. We’re solving complex challenges that traditional HPC can’t—and we’re seeking passionate, curious minds to help build the next wave of breakthroughs.
We are seeking a highly motivated and experienced HPC Engineer, AI and Data to join our team.
ROLE AND RESPONSIBILITIES
At Rescale, this means you will work on and impact:
- Become an expert in the Rescale platform and its application to customer workflows.
- Solve complex HPC AI problems for customers on our platform.
- Integrate cutting-edge AI technologies into CAE workflows.
- Collaborate with a dynamic and agile development team.
- Engage directly with customers to understand their needs and provide tailored solutions.
- Contribute to the development and enhancement of our AI software products.
- Stay updated with the latest advancements in HPC and AI technologies.
- Participate in code reviews and provide constructive feedback to peers.
BASIC QUALIFICATIONS
What we’re looking for:
- Advanced degree in Machine Learning, Computer Science, Aerospace Engineering, or a related field (preferably a PhD).
- 3+ years of industry experience.
- Strong problem-solving skills and self-motivation.
- Software development experience.
- Expertise in HPC and applying AI technology to CAE workflows.
- Proficiency in key skills: PyTorch, Modulus, PyG, CAE/CFD/FEA, REST API development, CUDA, Kubernetes, and more.
- Excellent communication and teamwork skills.
- Ability to work independently and manage multiple tasks effectively.
- Passion for continuous learning and professional development.
Rescale is an equal opportunities employer and welcomes applications from all qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. As part of our standard hiring process for new employees, employment with Rescale will be contingent upon successful completion of a comprehensive background check.
Here at Rescale, we are committed to being transparent in our policies around candidate privacy. For more details on the information Rescale collects in your application, please view the Rescale Applicant Privacy Policy here.

INTRODUCTION
Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we’re transforming how products are developed—through intelligent automation, applied AI, data management, and the integration of the world’s largest network of engineering and R&D applications. Joining Rescale means becoming part of a diverse, collaborative, and mission-driven team that’s unlocking faster innovation across industries like aerospace, energy, life sciences, and manufacturing. We’re solving complex challenges that traditional HPC can’t—and we’re seeking passionate, curious minds to help build the next wave of breakthroughs.
We are seeking a highly motivated and experienced HPC Engineer, AI and Data to join our team.
ROLE AND RESPONSIBILITIES
At Rescale, this means you will work on and impact:
- Become an expert in the Rescale platform and its application to customer workflows.
- Solve complex HPC AI problems for customers on our platform.
- Integrate cutting-edge AI technologies into CAE workflows.
- Collaborate with a dynamic and agile development team.
- Engage directly with customers to understand their needs and provide tailored solutions.
- Contribute to the development and enhancement of our AI software products.
- Stay updated with the latest advancements in HPC and AI technologies.
- Participate in code reviews and provide constructive feedback to peers.
BASIC QUALIFICATIONS
What we’re looking for:
- Advanced degree in Machine Learning, Computer Science, Aerospace Engineering, or a related field (preferably a PhD).
- 3+ years of industry experience.
- Strong problem-solving skills and self-motivation.
- Software development experience.
- Expertise in HPC and applying AI technology to CAE workflows.
- Proficiency in key skills: PyTorch, Modulus, PyG, CAE/CFD/FEA, REST API development, CUDA, Kubernetes, and more.
- Excellent communication and teamwork skills.
- Ability to work independently and manage multiple tasks effectively.
- Passion for continuous learning and professional development.
Rescale is an equal opportunities employer and welcomes applications from all qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. As part of our standard hiring process for new employees, employment with Rescale will be contingent upon successful completion of a comprehensive background check.
Here at Rescale, we are committed to being transparent in our policies around candidate privacy. For more details on the information Rescale collects in your application, please view the Rescale Applicant Privacy Policy here.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Hpc Engineer
Document your parallel computing credentials early
Gather transcripts, publications, and project portfolios that demonstrate proficiency in MPI, OpenMP, or GPU programming before applying. USCIS scrutinizes whether your degree field directly maps to the HPC role's minimum requirements during PERM adjudication.
Target employers with active PERM filing history
National laboratories, defense contractors, and research-intensive universities file PERM for HPC roles far more consistently than commercial startups. Searching DOL disclosure data lets you verify which organizations have certified similar positions recently.
Use Migrate Mate to filter sponsoring employers
Search Migrate Mate's job board to find HPC engineer openings at companies with confirmed green card sponsorship history, saving you from applying to employers who have no PERM infrastructure in place for this occupation.
Negotiate job duties before the PERM audit begins
The job description locked into the PERM application defines your role permanently. Get the employer's HR team to align posted duties with your actual work in high-performance computing before DOL's supervised recruitment period starts, since changes after filing can restart the process.
Verify the prevailing wage tier for your HPC specialization
HPC engineering spans wage levels I through IV under DOL classification. Run your specific job title and worksite location through the OFLC Wage Search to confirm which level applies, because misclassification is a common PERM denial trigger for technical roles.
Understand EB-2 versus EB-3 routing before accepting an offer
If your role requires a master's degree in computer science or engineering, ask the employer to file under EB-2, which can shorten your wait if you're from a country without a significant backlog. EB-3 is valid but carries different priority date timelines.
Hpc Engineer jobs are hiring across the US. Find yours.
Find Hpc Engineer JobsHpc Engineer Green Card Sponsorship: Frequently Asked Questions
Do HPC engineer roles typically qualify for EB-2 or EB-3 sponsorship?
Most HPC engineer positions qualify for EB-2 when the employer requires a master's degree or equivalent in computer science, electrical engineering, or a closely related field. Roles requiring only a bachelor's degree route through EB-3 as skilled workers. The PERM labor certification must reflect the actual minimum requirement the employer enforces, not an inflated credential, so the job description wording matters significantly for which category you land in.
How does green card sponsorship differ from H-1B for HPC engineers?
H-1B is temporary, subject to an annual lottery, and must be renewed every three years. PERM-based green card sponsorship leads to permanent residency with no lottery and no renewal cycle once approved. The tradeoff is timeline: PERM labor certification alone takes several months, followed by the I-140 and adjustment of status stages. For HPC engineers from countries without major backlogs, the total process often runs two to four years, but the outcome is permanent status rather than continued visa dependency.
What does the PERM process look like for an HPC engineer position?
Your employer files the PERM application with DOL after completing a supervised recruitment period to demonstrate no qualified U.S. workers are available for the role. DOL then certifies or audits the application. After certification, the employer files the I-140 immigrant petition with USCIS on your behalf. Once that is approved and a visa number is available based on your priority date and country of birth, you file for adjustment of status or go through consular processing to receive your green card.
How can I find HPC engineer jobs that offer green card sponsorship?
Migrate Mate is built specifically for this search. You can filter for HPC engineer roles at employers with verified green card sponsorship history, which removes the guesswork of approaching companies that have never filed PERM. National labs, defense contractors, and research universities appear frequently in these results because they sponsor PERM for technical computing roles on a regular basis.
Can I use O*NET data to strengthen my PERM application as an HPC engineer?
O*NET profiles the HPC engineer occupation with standardized task descriptions, required knowledge areas, and typical education levels. Employers and immigration attorneys often reference O*NET when drafting the PERM job description to ensure the duties align with DOL's occupational classification. Reviewing the O*NET profile yourself lets you flag any mismatch between your actual responsibilities and what the employer plans to file, which is a practical way to catch problems before the application is submitted.
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