Green Card Software Systems Engineer Jobs
Software Systems Engineer roles qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification, which requires your employer to document that no qualified U.S. worker is available for the position. Employers in defense, aerospace, cloud infrastructure, and embedded systems regularly sponsor foreign professionals for permanent residency.
Find Green Card Software Systems Engineer JobsOverview
Showing 5 of 148+ Software Systems Engineer jobs
See all 148+ Software Systems Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Systems Engineer roles.
Get Access To All JobsINTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
ROLE AND RESPONSIBILITIES
NVIDIA is seeking a Software Engineer, Data Systems to join our Santa Clara, CA team. This opportunity lets you work with innovative technology that changes how we analyze AI workload performance across GPU data centers. Our team builds advanced software tools to help technical users understand complex computing systems. You will manage the store, data model, and query path, converting large streams of profiling and telemetry data into useful information for engineers and automated analysis.
What you’ll be doing:
- Develop and construct the store, data model, and query path for engineering performance data. This includes ingesting, joining, storing, and delivering it at the scale of a GPU data center with low latency.
- Join profiling data with context from the rest of the system, such as hosts, schedulers, configuration, logs, and storage, ensuring each record carries the necessary identity and dimensions for comparison across jobs, machines, versions, and time.
- Take responsibility for the data contract with the teams that generate the data: establish it, version it, and transition consumers through changes without disrupting them.
- Make deliberate trade-offs among data quality, query latency, storage cost, and retention, and verify improvements in efficiency, latency, and resource use with measurements.
- Handle delayed, duplicated, incomplete, or inconsistent data, and make its limitations visible to downstream users.
- Develop the data API along with the generated evidence views for people and automated analysis to access results. Implement access controls, resource limits, and maintain stable behavior during high demand or failures.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 12+ years of relevant software engineering experience, including delivery and operation of data pipelines, storage systems, analytical services, or comparable software used by others.
- Experience handling large-scale data in production, including billions of events per day or petabyte-class stores. Also experienced with low-latency streaming pipelines that manage backpressure, replay, and duplicate delivery accurately.
- Good judgment about event identity and ordering, data transformations, and how errors or missing data affect results.
- A concrete performance investigation you can explain: the baseline, measurements, competing explanations, change made, and verified result, including trade-offs.
- Experience establishing and versioning a data contract with a producing team, and guiding consumers through a format change.
- Ability to debug across component boundaries and validate changes through code review, tests, and independent measurements, including when using automated development tools.
- Clear communication about choices in building, observed behavior, and uncertainty, with care for users’ data and operational constraints.
- Proficiency with C++, Python, and SQL.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Hands-on work with telemetry, time-series data, or analytical query engines such as ClickHouse, and with columnar formats such as Arrow and Parquet.
- Familiarity with profiler data: trace record formats, sampling semantics, symbolization, clock domains, and aligning events recorded on different machines.
- High-cardinality schema build, and measured improvements to memory use, storage efficiency, or query performance while preserving correctness.
- A track record of making data processing easier to inspect and recover when inputs change, traffic spikes, or failures occur.
- Working knowledge of Go.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 2, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
ROLE AND RESPONSIBILITIES
NVIDIA is seeking a Software Engineer, Data Systems to join our Santa Clara, CA team. This opportunity lets you work with innovative technology that changes how we analyze AI workload performance across GPU data centers. Our team builds advanced software tools to help technical users understand complex computing systems. You will manage the store, data model, and query path, converting large streams of profiling and telemetry data into useful information for engineers and automated analysis.
What you’ll be doing:
- Develop and construct the store, data model, and query path for engineering performance data. This includes ingesting, joining, storing, and delivering it at the scale of a GPU data center with low latency.
- Join profiling data with context from the rest of the system, such as hosts, schedulers, configuration, logs, and storage, ensuring each record carries the necessary identity and dimensions for comparison across jobs, machines, versions, and time.
- Take responsibility for the data contract with the teams that generate the data: establish it, version it, and transition consumers through changes without disrupting them.
- Make deliberate trade-offs among data quality, query latency, storage cost, and retention, and verify improvements in efficiency, latency, and resource use with measurements.
- Handle delayed, duplicated, incomplete, or inconsistent data, and make its limitations visible to downstream users.
- Develop the data API along with the generated evidence views for people and automated analysis to access results. Implement access controls, resource limits, and maintain stable behavior during high demand or failures.
BASIC QUALIFICATIONS
What we need to see:
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 12+ years of relevant software engineering experience, including delivery and operation of data pipelines, storage systems, analytical services, or comparable software used by others.
- Experience handling large-scale data in production, including billions of events per day or petabyte-class stores. Also experienced with low-latency streaming pipelines that manage backpressure, replay, and duplicate delivery accurately.
- Good judgment about event identity and ordering, data transformations, and how errors or missing data affect results.
- A concrete performance investigation you can explain: the baseline, measurements, competing explanations, change made, and verified result, including trade-offs.
- Experience establishing and versioning a data contract with a producing team, and guiding consumers through a format change.
- Ability to debug across component boundaries and validate changes through code review, tests, and independent measurements, including when using automated development tools.
- Clear communication about choices in building, observed behavior, and uncertainty, with care for users’ data and operational constraints.
- Proficiency with C++, Python, and SQL.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Hands-on work with telemetry, time-series data, or analytical query engines such as ClickHouse, and with columnar formats such as Arrow and Parquet.
- Familiarity with profiler data: trace record formats, sampling semantics, symbolization, clock domains, and aligning events recorded on different machines.
- High-cardinality schema build, and measured improvements to memory use, storage efficiency, or query performance while preserving correctness.
- A track record of making data processing easier to inspect and recover when inputs change, traffic spikes, or failures occur.
- Working knowledge of Go.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 2, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
See all 148+ Green Card Software Systems Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Software Systems Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Software Systems Engineer
Align your credentials with PERM job requirements
Your degree field must match what the employer lists in the PERM application. A software systems role requiring an electrical engineering degree won't support sponsorship if your credential is in computer science, even with years of relevant experience.
Target employers with active PERM filing history
Government contractors, defense primes, and semiconductor firms file PERM petitions far more consistently than early-stage startups. Search the DOL's Foreign Labor Certification disclosure data to verify an employer has sponsored systems engineers before interviewing.
Search for green card sponsoring roles on Migrate Mate
Migrate Mate surfaces Software Systems Engineer jobs filtered by employers with documented green card sponsorship history, so you're not guessing which companies will actually start the PERM process after your hire.
Use O*NET to build your specialty occupation case
USCIS and DOL both reference O*NET to assess whether a role genuinely requires a specific degree. Review the O*NET profile for Software Systems Engineer to understand how the occupation is formally defined and mirror that language in your job offer documentation.
Negotiate PERM filing timing before accepting an offer
Employers are not required to start PERM immediately after hire. Ask explicitly whether sponsorship begins in your first year and get the commitment in writing. Delays past your third year can affect your ability to use any accumulated priority date.
Confirm prevailing wage level matches your offered compensation
DOL assigns wage levels to PERM positions using the OFLC Wage Search tool. If your employer files at Level I but your duties match Level III, USCIS can deny the I-140. Verify the wage level reflects your actual responsibilities before the employer submits the application.
Green Card Software Systems Engineer: Frequently Asked Questions
Does a Software Systems Engineer role qualify for EB-2 or EB-3 sponsorship?
Both categories apply depending on the job requirements your employer defines. EB-2 requires the position to genuinely demand an advanced degree or equivalent specialized credentials. EB-3 covers roles requiring at least a bachelor's degree. Most Software Systems Engineer positions qualify under EB-2 when the employer documents that a master's degree or equivalent experience is a bona fide requirement of the job.
How does green card sponsorship differ from H-1B for this role?
H-1B visa is a temporary status tied to annual cap lotteries and employer-specific petitions you must renew every three years. Green card sponsorship through PERM leads to permanent residency with no renewal requirement and no lottery. The trade-off is timeline: PERM labor certification, I-140 approval, and adjustment of status can take two to four years for most countries, longer for India and China due to visa backlog queues.
Can my employer start PERM before I have H-1B status?
Yes. PERM is an employer-driven process and doesn't require you to hold any specific visa status. However, you'll need a valid work authorization status throughout the process. Many foreign professionals on F-1 OPT or H-1B ask their employer to begin PERM within the first year of employment to build priority date history before any status gaps arise.
Where can I find Software Systems Engineer jobs that sponsor green cards?
Migrate Mate lets you search Software Systems Engineer roles specifically filtered by employers with documented green card sponsorship history. This removes the guesswork of cold-applying to companies that may not have a PERM filing program, so you focus your search on employers already set up to sponsor.
What happens to my green card case if I change employers mid-process?
If your I-140 has been approved for at least 180 days, you can port the priority date to a new employer's petition under the same or a similar occupational category. Software Systems Engineer roles typically qualify as similar to related systems and engineering titles, but the new employer must file a fresh PERM and I-140. Your original priority date transfers to the new petition, protecting your place in the backlog queue.