Electronics H-1B1 Singapore Sponsorship Jobs in Massachusetts
H-1B1 Singapore electronics sponsorship jobs in Massachusetts cluster around the Route 128 technology corridor and Greater Boston, where employers like Analog Devices, Raytheon Technologies, and Teradyne operate major engineering hubs. Singapore nationals with a specialty occupation offer in hardware, semiconductors, or systems engineering can apply directly at the consulate without entering a lottery.
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Get Access To All JobsWant to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition and generation models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signals from unprecedented volumes of data.
By joining our team, you’ll have the opportunity to work with large and diverse datasets, iterate with research and production teams, and deliver voice based experiences to millions of users worldwide.
Description
The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as data and machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply distributed data engineering techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management.
In this role you will
-
Implement backend tools for Speech data warehouses including cataloging the entire collection of Speech Data
-
Automate speech data annotation that runs on a self-serve platform
-
Deploy and implement LLM-based chatbots to make the unified speech warehouse queryable and actionable (such as derived dataset creation) via natural language
-
Automate onboarding of new speech datasets from various sources onto a unified speech warehouse for easier discoverability and inclusion in training and evaluation of Siri
-
Collaborate with other Data and infrastructure teams across Apple to implement querying and speech dataset creation improvements
Minimum Qualifications
Deep expertise in Python software development, CI/CD, unit and integration testing
Distributed data processing tools and frameworks (Beam, Spark, Dask, Ray)
Strong software engineering abilities in Python
Preferred Qualifications
M.S. or Ph.D. degree in Computer Science, or equivalent experience
Strong data engineering background in speech and/or language/text/dialogue processing field
Speech and/or Machine Learning experience a plus
Real passion for building research demo data solution prototypes and turning them into production quality design/implementation
Strong interpersonal skills to work well with engineering teams
Excellent problem solving and critical thinking
Ability to work in a fast-paced environment with rapidly changing priorities
Passionate about building extraordinary products and experiences for our users
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 $132,100 and $244,600, 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.
Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition and generation models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional “data processing” and “model training”. Efficiently training on petabytes of audio data pushes us to consider the entire training stack while developing new models to extract useful signals from unprecedented volumes of data.
By joining our team, you’ll have the opportunity to work with large and diverse datasets, iterate with research and production teams, and deliver voice based experiences to millions of users worldwide.
Description
The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as data and machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply distributed data engineering techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management.
In this role you will
-
Implement backend tools for Speech data warehouses including cataloging the entire collection of Speech Data
-
Automate speech data annotation that runs on a self-serve platform
-
Deploy and implement LLM-based chatbots to make the unified speech warehouse queryable and actionable (such as derived dataset creation) via natural language
-
Automate onboarding of new speech datasets from various sources onto a unified speech warehouse for easier discoverability and inclusion in training and evaluation of Siri
-
Collaborate with other Data and infrastructure teams across Apple to implement querying and speech dataset creation improvements
Minimum Qualifications
Deep expertise in Python software development, CI/CD, unit and integration testing
Distributed data processing tools and frameworks (Beam, Spark, Dask, Ray)
Strong software engineering abilities in Python
Preferred Qualifications
M.S. or Ph.D. degree in Computer Science, or equivalent experience
Strong data engineering background in speech and/or language/text/dialogue processing field
Speech and/or Machine Learning experience a plus
Real passion for building research demo data solution prototypes and turning them into production quality design/implementation
Strong interpersonal skills to work well with engineering teams
Excellent problem solving and critical thinking
Ability to work in a fast-paced environment with rapidly changing priorities
Passionate about building extraordinary products and experiences for our users
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 $132,100 and $244,600, 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.
Electronics Job Roles in Massachusetts
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Search Electronics Jobs in MassachusettsElectronics Jobs in Massachusetts: Frequently Asked Questions
Which electronics companies sponsor H-1B1 Singapore visas in Massachusetts?
Massachusetts-based electronics employers with documented H-1B1 visa Singapore Labor Condition Application filings include Analog Devices, Teradyne, Raytheon Technologies, Bose, and Wolfspeed. Semiconductor and defense electronics firms concentrated along Route 128 and in the Merrimack Valley tend to file most frequently for specialty occupation roles in circuit design, embedded systems, and RF engineering. Checking OFLC disclosure data by employer name confirms which companies have active filing histories.
Which cities in Massachusetts have the most electronics H-1B1 Singapore sponsorship jobs?
The Route 128 corridor anchors most electronics sponsorship activity, with Waltham, Wilmington, Andover, and Lexington hosting major hardware and semiconductor employers. Boston and Cambridge add roles in photonics, power electronics, and IoT hardware tied to university research spin-offs. Worcester and Lowell also have manufacturing and test-equipment employers that file for H-1B1 Singapore specialty occupation positions.
What types of electronics roles typically qualify for H-1B1 Singapore sponsorship?
Roles that commonly meet the H-1B1 specialty occupation standard in electronics include hardware design engineer, analog and mixed-signal IC designer, RF and microwave engineer, embedded firmware engineer, PCB layout engineer, semiconductor process engineer, and test development engineer. Each position must require at least a bachelor's degree in a directly related field such as electrical engineering, computer engineering, or applied physics. O*NET occupation profiles can help confirm degree requirements for a specific job title.
How do I find electronics H-1B1 Singapore sponsorship jobs in Massachusetts?
Migrate Mate surfaces electronics roles in Massachusetts filtered by H-1B1 Singapore LCA filing history, so you can identify employers that have already sponsored the visa rather than relying on job postings alone. Filtering by industry and state shows which Route 128 and Greater Boston employers are actively hiring for hardware, semiconductor, and systems engineering positions. This removes the guesswork of cold-applying to companies with no track record of H-1B1 Singapore filings.
Are there any Massachusetts-specific or electronics-industry considerations for H-1B1 Singapore sponsorship?
Massachusetts has no additional state-level work authorization requirements beyond federal H-1B1 rules, but electronics employers here often operate in defense and export-controlled environments, which can introduce separate ITAR compliance reviews that affect hiring timelines independently of the visa process. Roles at defense contractors such as Raytheon and MITRE may require security clearance eligibility, which Singapore nationals can sometimes pursue though the process is distinct from the visa itself. Confirm export control applicability directly with each employer.
What is the prevailing wage for H-1B1 Singapore electronics jobs in Massachusetts?
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.