Software Engineer AI Visa Sponsorship Jobs in Oregon
Oregon's AI-driven tech sector is growing fast, with companies like Intel, Nike's technology division, and a dense cluster of Portland-based startups actively hiring software engineers focused on AI and machine learning. The state's proximity to major West Coast tech hubs and its strong university research pipeline make it a genuine destination for sponsored AI engineering roles.
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Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we’d love to have you apply!
About the Role
As an AI Accelerator Principal Software Engineer – Runtime Library, you will lead the design, development, and optimization of AI runtime software that enables multiple state-of-the-art deep learning models to run efficiently on Ampere’s deep learning accelerators. You will work at the intersection of systems software, performance engineering, and AI enablement, helping deliver high-throughput, low-latency inference and a strong foundation for future model and framework support.
What You’ll Achieve:
- Build and evolve an AI Runtime Library for Ampere accelerators that supports execution, scheduling, and lifecycle management of deep learning workloads across multiple model types and popular frameworks.
- Own end-to-end acceleration paths, going deep into the full SW/HW stack—including:
- Inference serving and integration layers
- Compiler/runtime interfaces and graph/IR execution flows
- Runtime library architecture (APIs, memory management, operators, execution engines)
- Communication mechanisms and device/host orchestration
- Drive HW/SW co-design and optimization to improve:
- Throughput (tokens/requests per second)
- Latency (kernel execution and scheduling efficiency)
- Memory efficiency (buffering, paging, reuse, caching)
- Overall compute utilization and scaling behavior
- Contribute to AI co-processor/accelerator software enablement, partnering closely with hardware and systems teams to ensure runtime and kernel strategies match accelerator capabilities and constraints.
- Collaborate cross-functionally to integrate runtime components into Ampere platform stacks, ensuring robust deployment on target environments and consistent performance in production-like workloads.
About You:
- BS Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering or related technical field & 8 years of related experience; or MS degree & 6 years; or PhD & 3 years
- Proven experience developing user-mode drivers and/or runtime libraries for GPUs or deep learning accelerators in Linux or RTOS environments.
- Strong expertise in C/C++ and systems-level programming (memory, threading, synchronization, performance profiling).
- Demonstrated background in AI framework enablement, with hands-on experience in one or more of:
- PyTorch (operator/runtime integration, graph execution, correctness/performance work)
- llama.cpp (inference/runtime execution patterns)
- ONNX (graph handling, interoperability, execution engines)
- Strong performance engineering skills, including profiling/diagnostics and optimization of execution pipelines, data movement, and compute kernels.
- Ability to operate effectively in a collaborative environment—owning complex components while partnering with compilers, hardware, and platform teams.
What We’ll Offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $182,000 and $273,000, except in the San Francisco Bay Area where the range is between $195,000 and $292,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
- Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
- Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
- A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.
And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
LI-Hybrid
LI-Hybrid#LI-DR
LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.
Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we’d love to have you apply!
About the Role
As an AI Accelerator Principal Software Engineer – Runtime Library, you will lead the design, development, and optimization of AI runtime software that enables multiple state-of-the-art deep learning models to run efficiently on Ampere’s deep learning accelerators. You will work at the intersection of systems software, performance engineering, and AI enablement, helping deliver high-throughput, low-latency inference and a strong foundation for future model and framework support.
What You’ll Achieve:
- Build and evolve an AI Runtime Library for Ampere accelerators that supports execution, scheduling, and lifecycle management of deep learning workloads across multiple model types and popular frameworks.
- Own end-to-end acceleration paths, going deep into the full SW/HW stack—including:
- Inference serving and integration layers
- Compiler/runtime interfaces and graph/IR execution flows
- Runtime library architecture (APIs, memory management, operators, execution engines)
- Communication mechanisms and device/host orchestration
- Drive HW/SW co-design and optimization to improve:
- Throughput (tokens/requests per second)
- Latency (kernel execution and scheduling efficiency)
- Memory efficiency (buffering, paging, reuse, caching)
- Overall compute utilization and scaling behavior
- Contribute to AI co-processor/accelerator software enablement, partnering closely with hardware and systems teams to ensure runtime and kernel strategies match accelerator capabilities and constraints.
- Collaborate cross-functionally to integrate runtime components into Ampere platform stacks, ensuring robust deployment on target environments and consistent performance in production-like workloads.
About You:
- BS Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering or related technical field & 8 years of related experience; or MS degree & 6 years; or PhD & 3 years
- Proven experience developing user-mode drivers and/or runtime libraries for GPUs or deep learning accelerators in Linux or RTOS environments.
- Strong expertise in C/C++ and systems-level programming (memory, threading, synchronization, performance profiling).
- Demonstrated background in AI framework enablement, with hands-on experience in one or more of:
- PyTorch (operator/runtime integration, graph execution, correctness/performance work)
- llama.cpp (inference/runtime execution patterns)
- ONNX (graph handling, interoperability, execution engines)
- Strong performance engineering skills, including profiling/diagnostics and optimization of execution pipelines, data movement, and compute kernels.
- Ability to operate effectively in a collaborative environment—owning complex components while partnering with compilers, hardware, and platform teams.
What We’ll Offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $182,000 and $273,000, except in the San Francisco Bay Area where the range is between $195,000 and $292,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
- Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
- Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
- A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.
And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
LI-Hybrid
LI-Hybrid#LI-DR
LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.
Software Engineer AI Job Roles in Oregon
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Search Software Engineer AI Jobs in OregonSoftware Engineer AI Jobs in Oregon: Frequently Asked Questions
Which companies in Oregon sponsor visas for software engineer AI roles?
Intel is one of Oregon's largest visa sponsors, with major operations in Hillsboro where AI and semiconductor engineering roles are common. Portland-area employers including Daimler Trucks North America, Viewpoint, and a range of venture-backed AI startups also sponsor H-1B visa petitions for software engineers. Larger tech companies with Oregon engineering offices tend to have established immigration support infrastructure and sponsor visas more consistently than early-stage firms.
Which visa types are most common for software engineer AI roles in Oregon?
The H-1B is the most common visa for software engineer AI roles in Oregon, as AI and machine learning engineering roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a closely related field. Candidates with Canadian or Mexican citizenship may qualify for the TN visa under the NAFTA/USMCA professional categories. Those with extraordinary ability or significant published research in AI may explore the O-1A, though it requires substantial documentation.
Which cities in Oregon have the most software engineer AI sponsorship jobs?
Portland and the surrounding metro area, including Hillsboro and Beaverton, concentrate the majority of Oregon's AI software engineering sponsorship activity. Hillsboro is home to Intel's largest U.S. campus, making it a significant hub for sponsored technical roles. Eugene has a growing tech presence connected to the University of Oregon, though the volume of sponsored AI roles there is considerably smaller than the Portland metro.
How to find software engineer ai visa sponsorship jobs in Oregon?
Migrate Mate is built specifically for international candidates searching for visa-sponsored roles, including software engineer AI positions in Oregon. You can filter by state and role type to surface employers who have a documented history of H-1B and other visa sponsorships for AI engineering positions. This saves significant time compared to manually researching individual companies, as Migrate Mate aggregates sponsorship data relevant to your job search in one place.
Are there any Oregon-specific considerations for AI software engineers seeking visa sponsorship?
Oregon does not impose a state-level income tax on wages earned outside its borders, but engineers working in the state are subject to Oregon income tax, which is worth factoring into any offer evaluation. Oregon's university ecosystem, particularly Oregon State University's computer science and AI research programs, creates a pipeline that some employers actively recruit from, which can also signal openness to sponsoring international graduates. Intel's Hillsboro campus frequently works with the H-1B program and employs a significant international workforce in technical engineering roles.
What is the prevailing wage for sponsored software engineer ai jobs in Oregon?
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.