H-1B Visa Efficiency Engineer Jobs
Efficiency Engineers apply industrial engineering methods to cut waste, reduce cycle times, and improve process performance across manufacturing, logistics, and operations. Employers filing H-1B petitions for this role must certify a prevailing wage through DOL and demonstrate the position qualifies as a specialty occupation requiring at least a bachelor's degree in industrial engineering or a closely related field.
See All Efficiency Engineer JobsOverview
Showing 5 of 27+ Efficiency Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all Efficiency Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Efficiency Engineer roles.
Get Access To All JobsINTRODUCTION
In Apple’s iCloud services organization, efficiency is not simply a technical objective—it is a fundamental part of how we deliver reliable, scalable, and sustainable infrastructure for billions of users worldwide. The iCloud Efficiency team is responsible for improving how Apple’s cloud services utilize compute, storage, and operational resources at massive scale. As infrastructure complexity grows, the opportunity to apply Generative AI, intelligent automation, and agentic systems becomes increasingly critical to accelerating operational excellence, improving engineering productivity, and optimizing resource efficiency.
As a Senior iCloud Efficiency Engineer focused on GenAI and Agentic Systems, you will work at the intersection of large-scale systems engineering, infrastructure automation, AI-assisted operations, and intelligent decision systems. You will provide technical leadership for streamlining GenAI efforts across the organization: establishing reusable patterns, defining production standards, and helping teams converge on durable, safe, and measurable AI-assisted infrastructure workflows. You will apply production state-of-the-art LLM systems, retrieval-assisted generation (RAG), skills-based automation, agentic workflows, evaluation and orchestration frameworks to transform how engineering teams operate, troubleshoot, forecast, and optimize cloud infrastructure. This role involves partnering closely with data engineering, data science, infrastructure engineering, software reliability engineering, and finance teams to design and deploy AI-driven systems that improve efficiency across capacity planning, anomaly detection, operational workflows, deployment safety, and infrastructure optimization. Your work will directly influence the operational and financial efficiency of one of the world’s largest private cloud environments supporting iCloud, Apple Intelligence, and Private Cloud Compute (PCC).
DESCRIPTION
The Senior iCloud Efficiency Engineer will play a critical role in advancing Apple’s next generation of intelligent infrastructure operations through applied GenAI and agentic technologies. This role focuses on building practical, high-impact AI systems that improve engineering workflows and infrastructure decision-making. You will identify high-leverage operational problems, set architecture direction, design agentic solutions, and guide teams from prototype to production adoption. The goal is combining LLM reasoning, system context, automation frameworks, and engineering safeguards to improve speed, reliability, and efficiency. Success in this role will be measured by concrete outcomes: adoption of shared patterns and tools by multiple teams, measurable toil reduction, validated cost or capacity savings. You will help define how AI can safely and effectively augment engineering teams—from capacity optimization and deployment analysis to incident response, forecasting, and infrastructure planning.
Responsibilities
- Design and implement GenAI-powered solutions to improve infrastructure efficiency, operational workflows, and engineering productivity across iCloud services
- Build and deploy agentic systems using technologies such as Claude, LLM orchestration frameworks, skills-based execution models, and intelligent automation pipelines
- Develop AI-assisted workflows for capacity planning, anomaly detection, forecasting, deployment validation, and operational safety
- Partner with SRE, infrastructure engineering, platform teams, and finance to identify high-value efficiency opportunities and convert them into scalable AI solutions
- Create reliable and safe agent workflows with strong observability, guardrails, human-in-the-loop validation, and operational controls
- Improve engineering decision-making by combining infrastructure telemetry, operational context, and LLM reasoning into actionable recommendations
- Drive experimentation and adoption of AI-first engineering practices that reduce toil, improve reliability, and optimize cost structures
- Contribute to the long-term strategy for AI-assisted infrastructure operations across Apple Cloud Services
MINIMUM QUALIFICATIONS
- 5+ years of experience in software engineering, infrastructure engineering, or large-scale cloud services environments
- Proven experience designing, building, or technically leading production GenAI, ML platform, developer productivity, infrastructure automation, or tooling systems
- Hands-on experience with GenAI technologies, LLM application architecture, including retrieval, context engineering, tool use, workflow orchestration, agentic workflows, evaluation, observability, and failure handling
- Demonstrated technical leadership across teams, including architecture reviews, roadmap influence, mentoring, and driving adoption of shared engineering practices
- Strong understanding of cloud infrastructure operations, observability, deployment systems, and operational safety principles
- Proven ability to translate ambiguous operational challenges into practical engineering solutions with measurable business impact
- Strong software development skills in Python, Java, or similar languages
- Exceptional analytical, systems thinking, and cross-functional communication skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field
PREFERRED QUALIFICATIONS
- Experience applying GenAI to infrastructure operations, SRE workflows, capacity planning, or engineering productivity systems
- Experience building AI systems with operational guardrails, governance models, and safe deployment patterns for enterprise environments
- Strong understanding of capacity forecasting, cost optimization, and infrastructure efficiency modeling at hyperscale
- Background working in private cloud environments, large-scale storage systems, or global distributed infrastructure
- PhD or advanced degree in Computer Science, Machine Learning, Distributed Systems, or related field
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 $212,000 and $386,300, 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.
INTRODUCTION
In Apple’s iCloud services organization, efficiency is not simply a technical objective—it is a fundamental part of how we deliver reliable, scalable, and sustainable infrastructure for billions of users worldwide. The iCloud Efficiency team is responsible for improving how Apple’s cloud services utilize compute, storage, and operational resources at massive scale. As infrastructure complexity grows, the opportunity to apply Generative AI, intelligent automation, and agentic systems becomes increasingly critical to accelerating operational excellence, improving engineering productivity, and optimizing resource efficiency.
As a Senior iCloud Efficiency Engineer focused on GenAI and Agentic Systems, you will work at the intersection of large-scale systems engineering, infrastructure automation, AI-assisted operations, and intelligent decision systems. You will provide technical leadership for streamlining GenAI efforts across the organization: establishing reusable patterns, defining production standards, and helping teams converge on durable, safe, and measurable AI-assisted infrastructure workflows. You will apply production state-of-the-art LLM systems, retrieval-assisted generation (RAG), skills-based automation, agentic workflows, evaluation and orchestration frameworks to transform how engineering teams operate, troubleshoot, forecast, and optimize cloud infrastructure. This role involves partnering closely with data engineering, data science, infrastructure engineering, software reliability engineering, and finance teams to design and deploy AI-driven systems that improve efficiency across capacity planning, anomaly detection, operational workflows, deployment safety, and infrastructure optimization. Your work will directly influence the operational and financial efficiency of one of the world’s largest private cloud environments supporting iCloud, Apple Intelligence, and Private Cloud Compute (PCC).
DESCRIPTION
The Senior iCloud Efficiency Engineer will play a critical role in advancing Apple’s next generation of intelligent infrastructure operations through applied GenAI and agentic technologies. This role focuses on building practical, high-impact AI systems that improve engineering workflows and infrastructure decision-making. You will identify high-leverage operational problems, set architecture direction, design agentic solutions, and guide teams from prototype to production adoption. The goal is combining LLM reasoning, system context, automation frameworks, and engineering safeguards to improve speed, reliability, and efficiency. Success in this role will be measured by concrete outcomes: adoption of shared patterns and tools by multiple teams, measurable toil reduction, validated cost or capacity savings. You will help define how AI can safely and effectively augment engineering teams—from capacity optimization and deployment analysis to incident response, forecasting, and infrastructure planning.
Responsibilities
- Design and implement GenAI-powered solutions to improve infrastructure efficiency, operational workflows, and engineering productivity across iCloud services
- Build and deploy agentic systems using technologies such as Claude, LLM orchestration frameworks, skills-based execution models, and intelligent automation pipelines
- Develop AI-assisted workflows for capacity planning, anomaly detection, forecasting, deployment validation, and operational safety
- Partner with SRE, infrastructure engineering, platform teams, and finance to identify high-value efficiency opportunities and convert them into scalable AI solutions
- Create reliable and safe agent workflows with strong observability, guardrails, human-in-the-loop validation, and operational controls
- Improve engineering decision-making by combining infrastructure telemetry, operational context, and LLM reasoning into actionable recommendations
- Drive experimentation and adoption of AI-first engineering practices that reduce toil, improve reliability, and optimize cost structures
- Contribute to the long-term strategy for AI-assisted infrastructure operations across Apple Cloud Services
MINIMUM QUALIFICATIONS
- 5+ years of experience in software engineering, infrastructure engineering, or large-scale cloud services environments
- Proven experience designing, building, or technically leading production GenAI, ML platform, developer productivity, infrastructure automation, or tooling systems
- Hands-on experience with GenAI technologies, LLM application architecture, including retrieval, context engineering, tool use, workflow orchestration, agentic workflows, evaluation, observability, and failure handling
- Demonstrated technical leadership across teams, including architecture reviews, roadmap influence, mentoring, and driving adoption of shared engineering practices
- Strong understanding of cloud infrastructure operations, observability, deployment systems, and operational safety principles
- Proven ability to translate ambiguous operational challenges into practical engineering solutions with measurable business impact
- Strong software development skills in Python, Java, or similar languages
- Exceptional analytical, systems thinking, and cross-functional communication skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field
PREFERRED QUALIFICATIONS
- Experience applying GenAI to infrastructure operations, SRE workflows, capacity planning, or engineering productivity systems
- Experience building AI systems with operational guardrails, governance models, and safe deployment patterns for enterprise environments
- Strong understanding of capacity forecasting, cost optimization, and infrastructure efficiency modeling at hyperscale
- Background working in private cloud environments, large-scale storage systems, or global distributed infrastructure
- PhD or advanced degree in Computer Science, Machine Learning, Distributed Systems, or related field
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 $212,000 and $386,300, 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.
See all Efficiency Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Efficiency Engineer roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an Efficiency Engineer
Confirm your degree supports specialty occupation
USCIS requires a direct relationship between your degree field and the Efficiency Engineer role. A general management or business degree alone often triggers an RFE. Industrial engineering, systems engineering, or operations research degrees create the clearest specialty occupation case.
Check prevailing wage levels before negotiating
Use the OFLC Wage Search to look up wage levels for your target job title and location. Employers must certify at least Level 1. Knowing the threshold before your offer conversation prevents misaligned expectations that stall LCA filing.
Target employers with active LCA filing history
Use Migrate Mate to filter Efficiency Engineer roles by employers who have filed Labor Condition Applications for this occupation. That filing history confirms the employer understands the H-1B process and has sponsored similar roles before.
Verify the role maps to the right O*NET code
Review your O*NET occupation profile for Industrial Engineers before your employer drafts the LCA. If the job description uses vague efficiency titles without referencing engineering methodology, the petition is harder to defend as a specialty occupation at USCIS.
Address employer E-Verify status early in outreach
H-1B employers aren't universally required to use E-Verify unless they're federal contractors or operating in certain states. Confirm your prospective employer's verification status before the offer stage so there are no onboarding delays after your petition is approved.
Plan your timeline around the cap and start date
H-1B cap-subject petitions can only be filed for an October 1 start date after a March registration window. If you're interviewing outside that window, ask whether the employer qualifies as cap-exempt or discuss bridging your status through OPT or another category.
Efficiency Engineer jobs are hiring across the US. Find yours.
Find Efficiency Engineer JobsEfficiency Engineer H-1B Visa: Frequently Asked Questions
Does an Efficiency Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the job description requires at least a bachelor's degree in industrial engineering, systems engineering, or operations research. USCIS scrutinizes roles with broad titles, so the employer's job description must tie the duties directly to engineering methodology. Titles like 'Efficiency Analyst' without engineering-specific requirements are harder to defend than roles with explicit process modeling or statistical analysis duties.
What SOC code do employers typically use when filing an H-1B for an Efficiency Engineer?
Most employers file under SOC 17-2112 (Industrial Engineers) or 13-1081 (Logisticians) depending on whether the role is engineering-driven or operations-driven. The SOC code affects which prevailing wage applies in the DOL's OFLC Wage Search, so a misclassified code can result in an incorrectly certified wage that later causes problems at USCIS. Confirm the code matches your actual duties before the LCA is submitted.
How do I find employers who have sponsored H-1B visas for Efficiency Engineer roles before?
Migrate Mate lets you browse Efficiency Engineer jobs filtered by employers with verified H-1B Labor Condition Application history. This is more reliable than relying on a recruiter's assurances, because LCA filings are public DOL records. Employers who have filed for this occupation code before have already cleared the internal approval and legal review steps that often slow down first-time sponsors.
Can my employer start my H-1B petition while I'm on OPT as an Efficiency Engineer?
Yes. If your OPT is still valid when the H-1B cap registration opens in March, your employer files a registration on your behalf. If selected and your OPT expires before October 1, the cap-gap rule extends your work authorization automatically. You can continue working for the same employer throughout the gap period as long as the petition is timely filed and pending with USCIS.
What documents should I prepare before an employer files my H-1B petition as an Efficiency Engineer?
You'll need official transcripts showing your engineering degree, a credential evaluation if your degree is from outside the U.S., copies of your passport and any prior visa documents, and a detailed resume showing engineering-specific duties. If your degree is in a field adjacent to industrial engineering, a professional evaluation letter explaining how your coursework maps to the role significantly reduces the risk of a specialty occupation RFE from USCIS.
See which Efficiency Engineer employers are hiring and sponsoring visas right now.
Search Efficiency Engineer Jobs