Electronics Green Card Sponsorship Jobs in Washington
Washington state is one of the strongest markets for electronics Green Card sponsorship in the U.S., driven by major employers like Microsoft, Amazon, Boeing, and a dense cluster of semiconductor and hardware firms around Seattle, Bellevue, and Redmond. Engineers, hardware designers, and embedded systems professionals will find some of the highest concentrations of sponsored roles anywhere in the country.
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Get Access To All JobsINTRODUCTION
NVIDIA is looking for an experienced Principal Software Engineer to expand the US-based Networking Hyperscale Engineering Team. Are you craving an opportunity to work directly with top-tier cloud and AI customers, co-develop software that powers their AI superclusters, and influence NVIDIA’s NIC software roadmap? In this role you will do just that for NVIDIA’s high-performance networking stack spanning Linux kernel, RDMA/RoCE, DPDK, DOCA, NCCL, and NIC firmware.
You will be among the first to design and optimize the NIC and communication paths for our next-generation GPU and NIC platforms and help define their role in the modern AI data center. You’ll work closely with some of the best SDK, driver, firmware, and GPU/NIC architects in the industry, as well as domain experts in large-scale training, collectives, and systems performance.
ROLE AND RESPONSIBILITIES:
- Co-developing NIC software and communication paths with strategic, top-tier customers to enable and scale large AI superclusters.
- Designing and implementing high-performance C/C++ components on Linux using DPDK, kernel-bypass techniques, and RDMA/RoCE.
- Developing and integrating kernel, driver, and NIC firmware features to improve throughput, latency, and reliability for AI workloads.
- Working closely with NCCL and distributed training teams to tune end-to-end collectives performance over NVIDIA networking at scale.
- Owning complex performance and functionality debug with customers and representing the team in cross-org architecture discussions.
BASIC QUALIFICATIONS:
- 15+ years overall experience in a similar or related systems / networking software role.
- A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
- Deep C/C++ expertise, strong Linux systems knowledge, and hands-on experience with kernel networking / RDMA / NIC drivers or DPDK.
- Proven experience developing and debugging network operating systems (NOS) and routing/switching protocols used in AI data centers (for example BGP, ECMP, EVPN/VXLAN).
- Practical experience with DOCA, NIC firmware interfaces, or other hardware-accelerated networking stacks for large-scale systems.
- Excellent communication skills and a track record of effective collaboration with developers, partners, and customers in dynamic environments.
PREFERRED QUALIFICATIONS:
- Deep knowledge of Linux kernel / systems internals, SoC / SmartNIC / NIC embedded systems, and data center switches and NOS.
- Hands-on experience with RDMA/RoCE, GPU-related networking (for example GPUDirect RDMA), and high-performance, low-latency data paths.
- Background optimizing NCCL or other distributed training stacks on large GPU clusters for throughput and tail latency.
- Experience working with hyperscalers or major cloud providers on strategic, performance-critical AI networking deployments.
- Contributions to open-source networking, RDMA, DPDK, kernel, CUDA/NCCL, or related ecosystems.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 19, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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 is looking for an experienced Principal Software Engineer to expand the US-based Networking Hyperscale Engineering Team. Are you craving an opportunity to work directly with top-tier cloud and AI customers, co-develop software that powers their AI superclusters, and influence NVIDIA’s NIC software roadmap? In this role you will do just that for NVIDIA’s high-performance networking stack spanning Linux kernel, RDMA/RoCE, DPDK, DOCA, NCCL, and NIC firmware.
You will be among the first to design and optimize the NIC and communication paths for our next-generation GPU and NIC platforms and help define their role in the modern AI data center. You’ll work closely with some of the best SDK, driver, firmware, and GPU/NIC architects in the industry, as well as domain experts in large-scale training, collectives, and systems performance.
ROLE AND RESPONSIBILITIES:
- Co-developing NIC software and communication paths with strategic, top-tier customers to enable and scale large AI superclusters.
- Designing and implementing high-performance C/C++ components on Linux using DPDK, kernel-bypass techniques, and RDMA/RoCE.
- Developing and integrating kernel, driver, and NIC firmware features to improve throughput, latency, and reliability for AI workloads.
- Working closely with NCCL and distributed training teams to tune end-to-end collectives performance over NVIDIA networking at scale.
- Owning complex performance and functionality debug with customers and representing the team in cross-org architecture discussions.
BASIC QUALIFICATIONS:
- 15+ years overall experience in a similar or related systems / networking software role.
- A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
- Deep C/C++ expertise, strong Linux systems knowledge, and hands-on experience with kernel networking / RDMA / NIC drivers or DPDK.
- Proven experience developing and debugging network operating systems (NOS) and routing/switching protocols used in AI data centers (for example BGP, ECMP, EVPN/VXLAN).
- Practical experience with DOCA, NIC firmware interfaces, or other hardware-accelerated networking stacks for large-scale systems.
- Excellent communication skills and a track record of effective collaboration with developers, partners, and customers in dynamic environments.
PREFERRED QUALIFICATIONS:
- Deep knowledge of Linux kernel / systems internals, SoC / SmartNIC / NIC embedded systems, and data center switches and NOS.
- Hands-on experience with RDMA/RoCE, GPU-related networking (for example GPUDirect RDMA), and high-performance, low-latency data paths.
- Background optimizing NCCL or other distributed training stacks on large GPU clusters for throughput and tail latency.
- Experience working with hyperscalers or major cloud providers on strategic, performance-critical AI networking deployments.
- Contributions to open-source networking, RDMA, DPDK, kernel, CUDA/NCCL, or related ecosystems.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 19, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
Green Card Electronics Job Roles in Washington
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Search Electronics Jobs in WashingtonElectronics Green Card Sponsorship Jobs in Washington: Frequently Asked Questions
Which electronics companies in Washington sponsor Green Cards?
Microsoft, Amazon, Boeing, and Intel (with operations in the Seattle metro) are among the most active Green Card sponsors for electronics roles in Washington. Smaller hardware and semiconductor firms in the Bellevue and Redmond corridors also file regularly. Sponsorship patterns can be verified through USCIS I-140 filing data and DOL PERM disclosure records, which are publicly available.
Which cities in Washington have the most electronics Green Card sponsorship jobs?
Seattle, Bellevue, and Redmond account for the largest share of electronics Green Card sponsorship activity in Washington. Redmond is heavily concentrated around Microsoft's campus, while Seattle hosts Amazon's hardware and devices divisions. Kirkland and Bothell also have notable presences from mid-size electronics and defense electronics firms. Outside the Seattle metro, Everett has aerospace and electronics manufacturing activity tied to Boeing.
What types of electronics roles typically qualify for Green Card sponsorship in Washington?
Roles that most commonly appear in PERM and EB-category filings in the electronics sector include hardware engineers, FPGA engineers, embedded systems engineers, semiconductor process engineers, electrical engineers, and RF engineers. These positions typically require at least a bachelor's degree in electrical engineering, computer engineering, or a closely related field, which supports the specialty occupation standard required for employer-sponsored Green Card petitions.
How do I find electronics Green Card sponsorship jobs in Washington?
Migrate Mate lists electronics jobs in Washington where employers have a documented history of Green Card sponsorship, filtering out roles that don't support international candidates. You can search by role type and filter specifically for Washington state to see active openings in hardware, semiconductor, and embedded systems. Migrate Mate pulls from verified sponsorship data so you're not guessing about which companies will file.
Are there any Washington-specific considerations for electronics Green Card sponsorship?
Washington has no state income tax, which affects total compensation comparisons but does not impact the Green Card process itself. One relevant consideration is that Washington's high concentration of large tech employers means many roles fall under H-1B visa dependent employer rules, which can affect the PERM process and documentation requirements. Electronics professionals in defense-adjacent roles should also be aware that some positions require security clearances that may limit sponsorship eligibility for foreign nationals.
What is the prevailing wage for Green Card electronics jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.