Senior AI Software Engineer Visa Sponsorship Jobs in Oregon
Oregon's growing tech sector, anchored by Intel's major campus in Hillsboro and a rising cluster of AI-focused companies in Portland, creates steady demand for senior AI software engineers requiring visa sponsorship. Companies across semiconductor, cloud infrastructure, and health tech regularly sponsor H-1B visa and O-1 visas for qualified candidates in this role.
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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 a Sr. Principal Machine Learning Software Engineer, you will lead the architecture and development of high-performance AI inference-serving software for Ampere accelerators. You will work across model serving, frameworks, compilers, runtimes, and optimized kernels to enable efficient deployment of modern AI workloads, including generative AI and large language models.
This is a hands-on technical leadership role for someone who can solve complex systems and performance challenges while influencing the broader AI software and hardware roadmap.
What You’ll Achieve:
- Architect and build an inference-serving engine that supports and optimizes state-of-the-art AI models on Ampere deep learning accelerators.
- Drive end-to-end serving performance, including throughput, latency, tail latency, memory efficiency, scalability, and cost per inference.
- Develop key serving capabilities such as batching and scheduling, KV-cache management, model loading, memory planning, quantization, and multi-device or distributed inference.
- Collaborate across model-serving, framework, compiler, runtime, kernel, and hardware teams to deliver a cohesive, high-performance AI software stack.
- Optimize model execution through graph compilation, operator fusion, precision optimization, efficient attention, and hardware-specific execution strategies.
- Influence future accelerator architecture through hardware/software co-design, translating real-world AI workload requirements into product recommendations.
- Establish technical direction, design standards, benchmarking practices, and performance-validation processes for the serving platform.
- Evaluate, integrate, and contribute to relevant open-source AI serving and runtime technologies.
- Mentor engineers and lead technical decisions across cross-functional initiatives.
- Partner with product, field, and customer teams to prioritize capabilities and deliver production-ready AI solutions.
About You:
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, or a related technical field with 12+ years of relevant experience; master’s degree with 8+ years; or Ph.D. with 5+ years.
- Experience developing or optimizing production inference runtimes, serving engines, deployment toolkits, or high-performance AI systems.
- Experience with technologies such as vLLM, llama.cpp, TensorRT/TensorRT-LLM, ONNX Runtime, OpenVINO, Triton Inference Server, TVM, XLA, MLIR, or comparable systems.
- Expert proficiency in modern C++ and strong experience in C, including concurrent programming, memory management, and systems-level performance optimization.
- Strong understanding of AI inference performance, including batching, scheduling, latency/throughput tradeoffs, memory bandwidth, KV-cache behavior, quantization, and accelerator utilization.
- Experience with profiling, benchmarking, performance analysis, and low-level systems debugging.
- Demonstrated ability to lead complex cross-functional technical initiatives and communicate effectively with software, hardware, and product stakeholders.
Preferred Qualifications
- Experience with LLM, transformer, multimodal, or generative-AI inference.
- Experience with AI frameworks and heterogeneous computing technologies such as PyTorch, oneDNN, SYCL, OpenCL, OpenMP, MPI, CUDA, ROCm, or similar platforms.
- Experience with ML compilers, graph optimization, code generation, kernel development, or device runtimes.
- Familiarity with distributed inference, cloud-native serving, containers, Kubernetes, orchestration, observability, or multi-tenant systems.
- Experience with model optimization techniques, including mixed precision, INT8/INT4/FP8 quantization, sparsity, or efficient-attention methods.
- Experience collaborating with hardware architecture teams on hardware/software co-design.
- Contributions to relevant open-source AI, compiler, runtime, or HPC projects.
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 $225,500 and $338,500, except in the San Francisco Bay Area where the range is between $237,000 and $356,000.
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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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 a Sr. Principal Machine Learning Software Engineer, you will lead the architecture and development of high-performance AI inference-serving software for Ampere accelerators. You will work across model serving, frameworks, compilers, runtimes, and optimized kernels to enable efficient deployment of modern AI workloads, including generative AI and large language models.
This is a hands-on technical leadership role for someone who can solve complex systems and performance challenges while influencing the broader AI software and hardware roadmap.
What You’ll Achieve:
- Architect and build an inference-serving engine that supports and optimizes state-of-the-art AI models on Ampere deep learning accelerators.
- Drive end-to-end serving performance, including throughput, latency, tail latency, memory efficiency, scalability, and cost per inference.
- Develop key serving capabilities such as batching and scheduling, KV-cache management, model loading, memory planning, quantization, and multi-device or distributed inference.
- Collaborate across model-serving, framework, compiler, runtime, kernel, and hardware teams to deliver a cohesive, high-performance AI software stack.
- Optimize model execution through graph compilation, operator fusion, precision optimization, efficient attention, and hardware-specific execution strategies.
- Influence future accelerator architecture through hardware/software co-design, translating real-world AI workload requirements into product recommendations.
- Establish technical direction, design standards, benchmarking practices, and performance-validation processes for the serving platform.
- Evaluate, integrate, and contribute to relevant open-source AI serving and runtime technologies.
- Mentor engineers and lead technical decisions across cross-functional initiatives.
- Partner with product, field, and customer teams to prioritize capabilities and deliver production-ready AI solutions.
About You:
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, or a related technical field with 12+ years of relevant experience; master’s degree with 8+ years; or Ph.D. with 5+ years.
- Experience developing or optimizing production inference runtimes, serving engines, deployment toolkits, or high-performance AI systems.
- Experience with technologies such as vLLM, llama.cpp, TensorRT/TensorRT-LLM, ONNX Runtime, OpenVINO, Triton Inference Server, TVM, XLA, MLIR, or comparable systems.
- Expert proficiency in modern C++ and strong experience in C, including concurrent programming, memory management, and systems-level performance optimization.
- Strong understanding of AI inference performance, including batching, scheduling, latency/throughput tradeoffs, memory bandwidth, KV-cache behavior, quantization, and accelerator utilization.
- Experience with profiling, benchmarking, performance analysis, and low-level systems debugging.
- Demonstrated ability to lead complex cross-functional technical initiatives and communicate effectively with software, hardware, and product stakeholders.
Preferred Qualifications
- Experience with LLM, transformer, multimodal, or generative-AI inference.
- Experience with AI frameworks and heterogeneous computing technologies such as PyTorch, oneDNN, SYCL, OpenCL, OpenMP, MPI, CUDA, ROCm, or similar platforms.
- Experience with ML compilers, graph optimization, code generation, kernel development, or device runtimes.
- Familiarity with distributed inference, cloud-native serving, containers, Kubernetes, orchestration, observability, or multi-tenant systems.
- Experience with model optimization techniques, including mixed precision, INT8/INT4/FP8 quantization, sparsity, or efficient-attention methods.
- Experience collaborating with hardware architecture teams on hardware/software co-design.
- Contributions to relevant open-source AI, compiler, runtime, or HPC projects.
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 $225,500 and $338,500, except in the San Francisco Bay Area where the range is between $237,000 and $356,000.
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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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.
Senior AI Software Engineer Job Roles in Oregon
See all 112+ Senior AI Software Engineer Jobs in Oregon
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Search Senior AI Software Engineer Jobs in OregonSenior AI Software Engineer Jobs in Oregon: Frequently Asked Questions
Which companies sponsor visas for senior AI software engineers in Oregon?
Intel is Oregon's largest technology employer and a consistent H-1B sponsor, particularly at its Hillsboro campus. Portland-area companies including Daimler Trucks North America, Nike's technology division, and a growing number of AI-focused startups have also filed LCA records for senior software engineering roles. Larger employers with established HR and legal infrastructure tend to have more structured sponsorship processes than early-stage startups.
Which visa types are most common for senior AI software engineer roles in Oregon?
The H-1B is the most common visa category for senior AI software engineers in Oregon, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, AI, or a related field. Candidates with exceptional recognition in AI research may qualify for the O-1A. Applicants already in the U.S. on F-1 OPT, including STEM OPT extensions, often transition to employer-sponsored H-1B status.
Which cities in Oregon have the most senior AI software engineer sponsorship jobs?
Portland and the surrounding metro area, including Hillsboro and Beaverton, account for the large majority of senior AI software engineer sponsorship activity in Oregon. Intel's Hillsboro campus alone drives significant H-1B filing volume. Eugene has a smaller but active tech presence connected to the University of Oregon. Outside the Portland metro, sponsorship opportunities are considerably more limited.
How to find senior ai software engineer visa sponsorship jobs in Oregon?
Migrate Mate is built specifically for international candidates and filters job listings by visa sponsorship availability, so you can search senior AI software engineer roles in Oregon without sorting through positions that won't support a work visa. The platform aggregates employer-verified sponsorship signals relevant to this role category, saving significant time compared to reviewing individual company career pages for H-1B or O-1 eligibility.
Are there state-specific considerations for senior AI software engineers seeking sponsorship in Oregon?
Oregon does not have state-level visa programs, so all sponsorship follows federal H-1B and O-1 processes. However, Oregon's concentration of semiconductor and hardware AI development, centered around Intel's Hillsboro operations, means many senior AI roles intersect with hardware-software integration work. The University of Oregon and Oregon State University supply graduate talent pipelines that some employers draw from, and candidates from those programs sometimes begin the H-1B process through OPT.
What is the prevailing wage for sponsored senior ai software engineer 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.