Electronics E-3 Sponsorship Jobs in Washington
Washington state is one of the strongest markets for electronics E-3 visa sponsorship in the U.S., anchored by major employers like Microsoft, Amazon, and Boeing alongside a dense cluster of semiconductor and hardware firms in the Seattle metro and Redmond corridor. Australian engineers and electronics specialists will find consistent demand for specialty occupation roles across the state.
Find Electronics JobsOverview
Showing 5 of 147+ Electronics E-3 Sponsorship Jobs in Washington
See all 147+ Electronics E-3 Sponsorship Jobs in Washington
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Electronics E-3 Sponsorship Jobs in Washington.
Get Access To All JobsINTRODUCTION
The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting-edge machine learning models that power magical user experiences on Apple's hardware and software platforms.
The team builds critical infrastructure that begins with onboarding the latest machine learning architectures to Apple devices, optimization toolkits to optimize these models to better suit the target devices, machine learning compilers and runtimes to execute these models as efficiently as possible, and the benchmarking, analysis and debugging toolchain needed to improve on new model iterations.
This infrastructure underpins most of Apple's critical machine learning workflows across Camera, Siri, Health, Vision, etc., and as such is an integral part of Apple Intelligence.
Our group is seeking an Engineering Manager to lead the Performance Tools and Services team, with a focus on the tools, services, and infrastructure that make on-device ML performance measurable, understandable, and improvable. The team is responsible for the frontend web services for introspecting ML models and their on-device execution, the backend web services that power them, and the on-device toolchain that gathers low-level performance data, associates it with high-level (PyTorch) framework-level ops, and reports it. The team is also responsible for the infrastructure for running ML inference across fleets of devices.
DESCRIPTION
We are building the first end-to-end developer experience for ML development that, by taking advantage of Apple's vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis.
This role focuses on giving ML developers fast, accurate, and actionable insight into how their models execute on Apple devices. We're looking for a manager that has proven experience in and passion for providing high quality developer tools and capabilities in the fast paced and dynamic space of ML.
As the manager in this role, you will lead a diverse team spanning full-stack web development, backend services, distributed systems, and low-level on-device performance tooling. You will partner with leaders across the organization and company to develop our platform while supporting clients internally and externally.
The role requires a solid technical understanding of ML execution on device, performance analysis and profiling, and the systems that connect low-level signals to framework-level (e.g., PyTorch) semantics.
Responsibilities
-
Leading and growing the team that builds the frontend web services for introspecting ML models and their on-device execution, the backend services that support them, and the on-device toolchain for gathering and reporting low-level performance data.
-
Driving future efforts to improve the “model authoring performance profiling improve model repeat“ workflow, making it faster and more insightful for ML developers.
-
Owning the infrastructure for running ML inference across fleets of devices, ensuring it is reliable, scalable, and produces trustworthy performance data.
-
Attracting, hiring, and guiding the career of talented ML, software, and tools engineers.
-
Working with cross functional partners to push the state-of-the-art of on-device ML functionality and performance.
MINIMUM QUALIFICATIONS
-
BS/MS/PhD in Computer Science or Electrical Engineering.
-
Two or more years of strong and validated management experience.
-
Knowledge of ML development and workflows, including at least one authoring framework experience (e.g., PyTorch).
-
Experience delivering web services and/or developer-facing tools, spanning frontend and backend.
-
Excellent communication skills.
-
Track record of creating clean software architectures, intuitive designs, and high-performance extensible software.
-
Solid programming skills in at least one of the following languages: Python, Swift, Objective-C, C/C++.
PREFERRED QUALIFICATIONS
-
Experience with on-device ML frameworks (Core ML, Win ML, ONNX, TF Lite or ExecuTorch).
-
Experience with performance profiling, benchmarking, and analysis tooling.
-
Experience building and operating infrastructure for running workloads across fleets of devices.
-
Experience associating low-level performance data with framework-level operations.
-
Experience with MLIR / LLVM compiler technologies.
PAY & BENEFITS
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
INTRODUCTION
The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting-edge machine learning models that power magical user experiences on Apple's hardware and software platforms.
The team builds critical infrastructure that begins with onboarding the latest machine learning architectures to Apple devices, optimization toolkits to optimize these models to better suit the target devices, machine learning compilers and runtimes to execute these models as efficiently as possible, and the benchmarking, analysis and debugging toolchain needed to improve on new model iterations.
This infrastructure underpins most of Apple's critical machine learning workflows across Camera, Siri, Health, Vision, etc., and as such is an integral part of Apple Intelligence.
Our group is seeking an Engineering Manager to lead the Performance Tools and Services team, with a focus on the tools, services, and infrastructure that make on-device ML performance measurable, understandable, and improvable. The team is responsible for the frontend web services for introspecting ML models and their on-device execution, the backend web services that power them, and the on-device toolchain that gathers low-level performance data, associates it with high-level (PyTorch) framework-level ops, and reports it. The team is also responsible for the infrastructure for running ML inference across fleets of devices.
DESCRIPTION
We are building the first end-to-end developer experience for ML development that, by taking advantage of Apple's vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis.
This role focuses on giving ML developers fast, accurate, and actionable insight into how their models execute on Apple devices. We're looking for a manager that has proven experience in and passion for providing high quality developer tools and capabilities in the fast paced and dynamic space of ML.
As the manager in this role, you will lead a diverse team spanning full-stack web development, backend services, distributed systems, and low-level on-device performance tooling. You will partner with leaders across the organization and company to develop our platform while supporting clients internally and externally.
The role requires a solid technical understanding of ML execution on device, performance analysis and profiling, and the systems that connect low-level signals to framework-level (e.g., PyTorch) semantics.
Responsibilities
-
Leading and growing the team that builds the frontend web services for introspecting ML models and their on-device execution, the backend services that support them, and the on-device toolchain for gathering and reporting low-level performance data.
-
Driving future efforts to improve the “model authoring performance profiling improve model repeat“ workflow, making it faster and more insightful for ML developers.
-
Owning the infrastructure for running ML inference across fleets of devices, ensuring it is reliable, scalable, and produces trustworthy performance data.
-
Attracting, hiring, and guiding the career of talented ML, software, and tools engineers.
-
Working with cross functional partners to push the state-of-the-art of on-device ML functionality and performance.
MINIMUM QUALIFICATIONS
-
BS/MS/PhD in Computer Science or Electrical Engineering.
-
Two or more years of strong and validated management experience.
-
Knowledge of ML development and workflows, including at least one authoring framework experience (e.g., PyTorch).
-
Experience delivering web services and/or developer-facing tools, spanning frontend and backend.
-
Excellent communication skills.
-
Track record of creating clean software architectures, intuitive designs, and high-performance extensible software.
-
Solid programming skills in at least one of the following languages: Python, Swift, Objective-C, C/C++.
PREFERRED QUALIFICATIONS
-
Experience with on-device ML frameworks (Core ML, Win ML, ONNX, TF Lite or ExecuTorch).
-
Experience with performance profiling, benchmarking, and analysis tooling.
-
Experience building and operating infrastructure for running workloads across fleets of devices.
-
Experience associating low-level performance data with framework-level operations.
-
Experience with MLIR / LLVM compiler technologies.
PAY & BENEFITS
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
E-3 Electronics Job Roles in Washington
See all 147+ Electronics E-3 Jobs in Washington
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Electronics Jobs in WashingtonElectronics E-3 Sponsorship Jobs in Washington: Frequently Asked Questions
Which electronics companies sponsor E-3 visas in Washington?
Microsoft, Amazon, and Boeing are among the largest employers of electronics and hardware professionals in Washington and have established E-3 visa sponsorship track records. Beyond these, companies like Valve, Expedia, and a range of semiconductor and defense electronics firms in the Seattle and Bellevue area regularly sponsor specialty occupation roles. Sponsorship availability varies by team, headcount, and hiring cycle, so confirming directly with the employer matters.
Which cities in Washington have the most electronics E-3 sponsorship jobs?
Seattle and Redmond account for the largest share of electronics E-3 sponsorship activity in Washington, driven by Microsoft's Redmond headquarters and the broader Seattle tech and aerospace ecosystem. Bellevue and Kirkland also have significant hardware and electronics hiring, particularly in consumer electronics and cloud infrastructure. Smaller clusters exist in Everett, where Boeing's manufacturing operations concentrate, and in Bothell, which has a strong medical electronics and defense presence.
What types of electronics roles typically qualify for E-3 sponsorship?
Roles that qualify for E-3 sponsorship must meet the specialty occupation standard, meaning they require a bachelor's degree or higher in a specific technical field. In electronics, this typically includes hardware design engineers, embedded systems engineers, RF and signal processing engineers, PCB design engineers, firmware engineers, and VLSI or semiconductor process engineers. General electronics technician roles that don't require a degree in a specific discipline are less likely to qualify, and the employer must be prepared to demonstrate the degree requirement.
How do I find electronics E-3 sponsorship jobs in Washington?
Migrate Mate is built specifically for this search, letting you filter by visa type, state, and industry to surface electronics E-3 sponsorship roles in Washington without manually screening thousands of listings. Because E-3 eligibility depends on the role meeting specialty occupation requirements and the employer being willing to file, using a platform that pre-filters for sponsorship willingness saves significant time. Migrate Mate's Washington electronics listings pull from employers with documented sponsorship activity.
Are there any Washington-specific considerations for electronics E-3 sponsorship?
Washington has no state income tax, which affects total compensation comparisons but has no bearing on E-3 eligibility or the sponsorship process itself. One practical consideration is that Washington's electronics sector includes significant defense contractors like Boeing and Leidos, and some roles at those employers require security clearances that are not available to E-3 visa holders. Confirming clearance requirements before applying saves time for Australian candidates targeting defense-adjacent electronics positions.
What is the prevailing wage for E-3 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.