Electronics Jobs in Washington with H-1B1 Sponsorship
Washington state is a strong market for electronics H-1B1 sponsorship jobs, anchored by major employers like Microsoft, Amazon, and Boeing alongside a dense cluster of semiconductor and hardware firms in the Seattle-Bellevue corridor and Redmond. Chilean and Singaporean nationals on the H-1B1 can find specialty occupation roles across consumer electronics, embedded systems, and electronic manufacturing throughout the state.
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The System Intelligence and Machine Learning (SIML) organization at Apple is looking for an experienced and visionary Machine Learning Architect Manager to drive technology direction, shape our machine learning strategy, and lead pioneering R&D efforts. In this role, you will define and guide the development of technologies focusing on improving both the quality and performance of advanced large language models (LLMs) and generative AI models for image and video generation. You will work closely with cross-functional teams, including researchers, engineers, and product leaders, to deliver cutting-edge AI solutions that push the boundaries of generative technologies both on cloud and on edge devices that reach billions of users.
Description
In this ML architect manager role, the key responsibilities include:
- Technology Strategy & Direction: Define the technical roadmap for improving the quality and performance in LLMs and generative models, ensuring alignment with business objectives.
- Technology and Industry Leadership: Lead R&D initiatives in areas such as large-scale model optimization, hardware and software co-design, diffusion models, multi-modal AI, and generative video synthesis. Stay up-to-date with advancements in Generative AI to incorporate emerging technologies into our solutions.
- Architecture Design: Develop scalable, efficient architectures for training, optimizing, and deploying large-scale LLMs and generative models.
- Innovation and Experimentation: Explore and prototype novel techniques in generative AI, including fine-tuning, reinforcement learning with various reward strategies, transfer learning, and multimodal alignment.
- Collaboration and Mentorship: Partner with the rest of Apple teams to transition technology breakthroughs into production grade solutions. Guide and mentor machine learning engineers and researchers to foster technical excellence.
Minimum Qualifications
- Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience
- Proficiency in toolkits like PyTorch or other deep learning frameworks
- 15+ years in machine learning, with at least 2 years of experience in LLMs, diffusion models, or other generative image/video models
- Experience in distributed training, model parallelism, and deployment of large-scale generative models
- Knowledge of techniques such as quantization, distillation, and efficient inference. Experience with deploying large ML models in real world products
- Strong background in conducting experiments, analyzing results, and iterating on model improvements.
Preferred Qualifications
- Experience in multi-modal models (e.g., image, video, audio, or motion modalities)
- Familiarity with emerging technologies such as Mixture of Experts, LoRA, and Retrieval Augmented Generation
- Strong academic track record with publications in top tier conferences (NeurIPS, CVPR, ICLR, etc)
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $188,200 and $325,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

The System Intelligence and Machine Learning (SIML) organization at Apple is looking for an experienced and visionary Machine Learning Architect Manager to drive technology direction, shape our machine learning strategy, and lead pioneering R&D efforts. In this role, you will define and guide the development of technologies focusing on improving both the quality and performance of advanced large language models (LLMs) and generative AI models for image and video generation. You will work closely with cross-functional teams, including researchers, engineers, and product leaders, to deliver cutting-edge AI solutions that push the boundaries of generative technologies both on cloud and on edge devices that reach billions of users.
Description
In this ML architect manager role, the key responsibilities include:
- Technology Strategy & Direction: Define the technical roadmap for improving the quality and performance in LLMs and generative models, ensuring alignment with business objectives.
- Technology and Industry Leadership: Lead R&D initiatives in areas such as large-scale model optimization, hardware and software co-design, diffusion models, multi-modal AI, and generative video synthesis. Stay up-to-date with advancements in Generative AI to incorporate emerging technologies into our solutions.
- Architecture Design: Develop scalable, efficient architectures for training, optimizing, and deploying large-scale LLMs and generative models.
- Innovation and Experimentation: Explore and prototype novel techniques in generative AI, including fine-tuning, reinforcement learning with various reward strategies, transfer learning, and multimodal alignment.
- Collaboration and Mentorship: Partner with the rest of Apple teams to transition technology breakthroughs into production grade solutions. Guide and mentor machine learning engineers and researchers to foster technical excellence.
Minimum Qualifications
- Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience
- Proficiency in toolkits like PyTorch or other deep learning frameworks
- 15+ years in machine learning, with at least 2 years of experience in LLMs, diffusion models, or other generative image/video models
- Experience in distributed training, model parallelism, and deployment of large-scale generative models
- Knowledge of techniques such as quantization, distillation, and efficient inference. Experience with deploying large ML models in real world products
- Strong background in conducting experiments, analyzing results, and iterating on model improvements.
Preferred Qualifications
- Experience in multi-modal models (e.g., image, video, audio, or motion modalities)
- Familiarity with emerging technologies such as Mixture of Experts, LoRA, and Retrieval Augmented Generation
- Strong academic track record with publications in top tier conferences (NeurIPS, CVPR, ICLR, etc)
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $188,200 and $325,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Job Roles in Electronics in Washington
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Get Access To All JobsFrequently Asked Questions
Which electronics companies in Washington sponsor H-1B1 visas?
Microsoft, Amazon, and Boeing are among the largest Washington employers with documented H-1B1 sponsorship history in technical roles. Beyond those, companies like Seagate, Honeywell, and a range of semiconductor and hardware startups in the Seattle-Bellevue-Redmond corridor regularly file for specialty occupation workers. Sponsorship practices vary by company and role, so confirming directly with the employer during the hiring process is always necessary.
Which cities in Washington have the most electronics H-1B1 sponsorship jobs?
Seattle, Bellevue, and Redmond account for the largest concentration of electronics H-1B1 sponsorship jobs in Washington, driven by the presence of major tech and aerospace employers. Kirkland and Bothell also have meaningful electronics and hardware hiring activity. Outside the greater Seattle metro, Everett has aerospace and defense electronics roles tied to Boeing's manufacturing operations there.
What types of electronics roles typically qualify for H-1B1 sponsorship in Washington?
Roles that typically qualify are those requiring at least a bachelor's degree in a directly related field. In Washington's electronics sector, that includes hardware engineers, electrical engineers, embedded systems engineers, semiconductor process engineers, RF engineers, and PCB design engineers. General technician or assembly roles that don't require a specific degree are unlikely to meet the specialty occupation standard required for H-1B1 classification.
How do I find electronics H-1B1 sponsorship jobs in Washington?
Migrate Mate is built specifically for this search. You can filter by visa type (H-1B1), industry (electronics), and state (Washington) to see roles where employers have indicated sponsorship willingness. Because H-1B1 is available only to Chilean and Singaporean nationals, the pool of competing applicants is smaller than for H-1B, which can work in your favor when targeting Washington electronics employers through Migrate Mate.
Are there any Washington-specific considerations for H-1B1 sponsorship in electronics?
Washington has no state income tax, which affects total compensation comparisons but doesn't change H-1B1 requirements. More relevant is that Washington's electronics sector is heavily concentrated in aerospace and consumer technology, meaning prevailing wage determinations often reflect a high-cost labor market. Employers must file a Labor Condition Application with the Department of Labor certifying the offered wage meets prevailing wage levels before the H-1B1 petition can proceed.
What is the prevailing wage for H-1B1 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.
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