H-1B Visa Tool Engineer Jobs
Tool Engineers design, develop, and maintain the specialized equipment and fixtures that manufacturing processes depend on. H-1B sponsorship is common in this role because it falls under specialty occupation requirements, you'll need a bachelor's degree in mechanical engineering, manufacturing engineering, or a closely related field to qualify.
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Get Access To All JobsAre you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple’s software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day.
We are looking for a Machine Learning Tools Engineer to help build and evolve the infrastructure, tools, and libraries that power model development and deployment across our organization. The ideal candidate combines strong software engineering fundamentals with ML domain understanding and a deep passion for improving developer experience. You’ll partner closely with researchers, ML engineers, and infra teams to design tools that make training, experimentation, evaluation and inference seamless and efficient. This role is hands-on, user-focused, and requires a balance of building scalable systems and operationally supporting a large and growing user base.
Description
As a Machine Learning Tools Engineer, you will:
- Design, develop, and maintain core ML infrastructure components (training pipelines, experiment tracking, deployment tooling, and monitoring systems).
- Collaborate with ML practitioners to identify pain points and translate them into productized solutions that enhance productivity and reliability.
- Build and maintain Python-based SDKs, CLIs, and APIs that simplify how ML engineers interact with compute, data, and models.
- Ensure tools are robust, performant, and user-friendly, with strong observability and documentation.
- Partner with infrastructure, MLOps, and platform teams to ensure end-to-end system integration and smooth scaling.
This is a highly collaborative role that requires curiosity, empathy for users, and a drive to make ML development frictionless.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related technical field; or equivalent practical experience.
3+ years of experience in software development with strong Python proficiency.
Familiarity with machine learning fundamentals and frameworks (e.g., PyTorch, TensorFlow, JAX).
Experience with Linux systems, containers (Docker), and version control (Git).
Strong debugging, analytical, and problem-solving skills.
Comfortable operating at the intersection of research and product, coordinating across teams with competing timelines and technical constraints.
Preferred Qualifications
Prior experience in an ML platform, infrastructure, or productivity tools team.
Experience building internal SDKs, CLIs, or automation frameworks for ML or data workflows.
Exposure to distributed training, experiment tracking, or model serving infrastructure.
Experience supporting large internal or external developer communities.
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 $147,400 and $220,900, 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.
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.
Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple’s software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day.
We are looking for a Machine Learning Tools Engineer to help build and evolve the infrastructure, tools, and libraries that power model development and deployment across our organization. The ideal candidate combines strong software engineering fundamentals with ML domain understanding and a deep passion for improving developer experience. You’ll partner closely with researchers, ML engineers, and infra teams to design tools that make training, experimentation, evaluation and inference seamless and efficient. This role is hands-on, user-focused, and requires a balance of building scalable systems and operationally supporting a large and growing user base.
Description
As a Machine Learning Tools Engineer, you will:
- Design, develop, and maintain core ML infrastructure components (training pipelines, experiment tracking, deployment tooling, and monitoring systems).
- Collaborate with ML practitioners to identify pain points and translate them into productized solutions that enhance productivity and reliability.
- Build and maintain Python-based SDKs, CLIs, and APIs that simplify how ML engineers interact with compute, data, and models.
- Ensure tools are robust, performant, and user-friendly, with strong observability and documentation.
- Partner with infrastructure, MLOps, and platform teams to ensure end-to-end system integration and smooth scaling.
This is a highly collaborative role that requires curiosity, empathy for users, and a drive to make ML development frictionless.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related technical field; or equivalent practical experience.
3+ years of experience in software development with strong Python proficiency.
Familiarity with machine learning fundamentals and frameworks (e.g., PyTorch, TensorFlow, JAX).
Experience with Linux systems, containers (Docker), and version control (Git).
Strong debugging, analytical, and problem-solving skills.
Comfortable operating at the intersection of research and product, coordinating across teams with competing timelines and technical constraints.
Preferred Qualifications
Prior experience in an ML platform, infrastructure, or productivity tools team.
Experience building internal SDKs, CLIs, or automation frameworks for ML or data workflows.
Exposure to distributed training, experiment tracking, or model serving infrastructure.
Experience supporting large internal or external developer communities.
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 $147,400 and $220,900, 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.
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.
See all 185+ Tool Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Tool Engineer roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Tool Engineer
Verify your SOC code before applying
Tool Engineer roles are typically filed under SOC 17-2141 (Mechanical Engineers). Confirm the employer is using this code on the LCA, since a mismatched SOC can trigger an RFE or a prevailing wage shortfall that delays your petition.
Check LCA filing history on Migrate Mate
Search employer LCA records on Migrate Mate to see which manufacturers have filed for Tool Engineer or Mechanical Engineer roles. Prioritize companies with recent, approved filings in your target state over those with no H-1B history.
Target manufacturers with dedicated tooling departments
Aerospace, automotive, and medical device manufacturers run large tooling departments that file H-1B petitions regularly. Contract manufacturers and job shops are less likely to sponsor because project timelines don't align with H-1B's multi-year commitment.
Document specialized tooling credentials precisely
GD&T certifications, CAD software proficiency (CATIA, SolidWorks), and experience with specific tooling standards (ISO 9001, IATF 16949) strengthen the specialty occupation argument. Include these explicitly in your resume and have your employer reference them in the H-1B support letter.
Confirm prevailing wage level before negotiating your offer
Run your job title and work location through the OFLC Wage Search before you negotiate. Employers file at Level I through IV wages, and accepting a Level I offer can limit your ability to transfer petitions later if wage floors shift.
File premium processing if your project start date is fixed
Tool Engineer roles often tie to production launch schedules. If your employer's program timeline doesn't allow for standard USCIS processing, request premium processing upfront. Missing a program start date can affect your standing on the project and your employer's willingness to extend sponsorship.
Tool Engineer jobs are hiring across the US. Find yours.
Find Tool Engineer JobsTool Engineer H-1B Visa: Frequently Asked Questions
Does a Tool Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, Tool Engineer roles qualify as specialty occupations when the position requires a bachelor's degree or higher in mechanical engineering, manufacturing engineering, or a directly related field. The employer must demonstrate this degree requirement is standard for the role, not just preferred. Positions where any technical degree is accepted regardless of field are more vulnerable to RFEs.
Which industries are most likely to sponsor H-1B visas for Tool Engineers?
Aerospace, automotive, and medical device manufacturing are the strongest H-1B sponsors for Tool Engineers because they operate large tooling programs with multi-year development cycles. Defense contractors and semiconductor equipment manufacturers also file regularly. You can filter employers by industry and LCA filing history on Migrate Mate to identify active sponsors in your target region.
Can my employer file my H-1B petition while I'm on OPT working as a Tool Engineer?
Yes, and they should file before your OPT expires so you're covered by the cap-gap rule. If your OPT end date falls between April 1 and October 1, an approved or pending H-1B petition automatically extends your work authorization through September 30. Your employer files Form I-129 with USCIS; you don't file separately.
What prevailing wage level should a Tool Engineer H-1B be filed at?
Most Tool Engineer positions with two to five years of experience are filed at Level II or Level III. Level I is reserved for entry-level roles with close supervision, while Level IV applies to senior engineers setting methodology. Run your job title, SOC code, and work location through the OFLC Wage Search to verify which level applies before your employer submits the LCA.
How does changing employers affect my H-1B status as a Tool Engineer?
You can transfer your H-1B to a new employer under H-1B portability, which allows you to start the new job once the transfer petition is received by USCIS, not after approval. Your new employer files a new I-129 with a new LCA. The role must still qualify as a specialty occupation, so the new job description should match or closely align with your current SOC code.
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