Performance Engineer Jobs in USA with Visa Sponsorship
Performance engineers are strong H-1B candidates, the role consistently qualifies as a specialty occupation requiring a bachelor's degree in computer science, mechanical engineering, or a related field. Employers across cloud infrastructure, automotive, and semiconductor sectors actively sponsor this title. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsGreat performance is critical to Apple's product experience, but exceptional performance begins with the decisions we make today about the products of tomorrow. The Performance Modeling and Features team within CoreOS Performance serves as performance optimizers and strategic advisors across Apple's software and hardware organizations, using performance analysis, data-driven insights, and predictive modeling to improve performance, as well as shape architecture decisions, hardware specifications, and product planning. The team is seeking an engineer who can operate at a unique intersection: using performance expertise, data science, and strategic planning to not just measure and optimize performance, but model it, predict it, and use those insights to shape decisions. If this excites you, we should talk.
Description
In this role, you'll serve as a performance optimizer and advisor, working with everyone from feature teams architecting new capabilities to hardware teams planning next-generation devices. Blending statistical analysis with software engineering, you'll analyze large-scale multivariate time-series data, design experiments, and build models, metrics, and simulations that translate complex performance questions into clear recommendations and drive the resulting performance improvements. You'll write code for analysis pipelines, simulation tools, and automation that enable teams to make informed decisions based on quantitative insights.
Responsibilities:
- Consult with feature teams on software architecture decisions from a performance perspective
- Analyze telemetry data and design experiments to inform performance optimization and hardware lifecycle decisions
- Build models and simulations to forecast performance requirements for future products
- Develop metrics, tools, and analysis pipelines to extract insights from large-scale datasets
- Collaborate across software, hardware, and silicon teams to translate performance analysis into strategic guidance
- Write robust, maintainable code for models, simulations, and automation
- Drive performance improvements from insight to implementation, ensuring analytical findings translate into measurable gains in customer experience
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related quantitative field, or equivalent professional experience
Strong foundation in statistical analysis, experimental design, and quantitative problem-solving
Proficiency in programming languages for data analysis, modeling, and systems development (e.g., Python, R, SQL, C/C++, Objective-C, Swift)
Working knowledge of operating system fundamentals (e.g., memory management, scheduling, file systems, storage)
Demonstrated ability to transform raw data into actionable insights through analysis, modeling, and visualization
Excellent problem-solving and critical-thinking skills
Strong written and verbal communication skills, with ability to explain technical concepts to diverse audiences
Proven ability to collaborate effectively across teams and build relationships with diverse stakeholders
Preferred Qualifications
M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or related quantitative field
Experience with performance modeling, capacity planning, or computer architecture evaluation
Knowledge of modern CPU and memory architectures, and hardware/software interactions
Experience with performance analysis tools and methodologies (e.g., profiling, tracing, instrumentation)
Proficiency with distributed compute and storage technologies for large-scale data analysis (e.g., Spark, SQL-based analytics platforms)
Experience driving cross-functional projects and influencing decisions across diverse stakeholder groups
Track record of connecting quantitative insights to strategic product or business decisions
Prior experience in Unix, Linux, macOS, or iOS development or performance optimization
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 $126,800 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
Great performance is critical to Apple's product experience, but exceptional performance begins with the decisions we make today about the products of tomorrow. The Performance Modeling and Features team within CoreOS Performance serves as performance optimizers and strategic advisors across Apple's software and hardware organizations, using performance analysis, data-driven insights, and predictive modeling to improve performance, as well as shape architecture decisions, hardware specifications, and product planning. The team is seeking an engineer who can operate at a unique intersection: using performance expertise, data science, and strategic planning to not just measure and optimize performance, but model it, predict it, and use those insights to shape decisions. If this excites you, we should talk.
Description
In this role, you'll serve as a performance optimizer and advisor, working with everyone from feature teams architecting new capabilities to hardware teams planning next-generation devices. Blending statistical analysis with software engineering, you'll analyze large-scale multivariate time-series data, design experiments, and build models, metrics, and simulations that translate complex performance questions into clear recommendations and drive the resulting performance improvements. You'll write code for analysis pipelines, simulation tools, and automation that enable teams to make informed decisions based on quantitative insights.
Responsibilities:
- Consult with feature teams on software architecture decisions from a performance perspective
- Analyze telemetry data and design experiments to inform performance optimization and hardware lifecycle decisions
- Build models and simulations to forecast performance requirements for future products
- Develop metrics, tools, and analysis pipelines to extract insights from large-scale datasets
- Collaborate across software, hardware, and silicon teams to translate performance analysis into strategic guidance
- Write robust, maintainable code for models, simulations, and automation
- Drive performance improvements from insight to implementation, ensuring analytical findings translate into measurable gains in customer experience
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related quantitative field, or equivalent professional experience
Strong foundation in statistical analysis, experimental design, and quantitative problem-solving
Proficiency in programming languages for data analysis, modeling, and systems development (e.g., Python, R, SQL, C/C++, Objective-C, Swift)
Working knowledge of operating system fundamentals (e.g., memory management, scheduling, file systems, storage)
Demonstrated ability to transform raw data into actionable insights through analysis, modeling, and visualization
Excellent problem-solving and critical-thinking skills
Strong written and verbal communication skills, with ability to explain technical concepts to diverse audiences
Proven ability to collaborate effectively across teams and build relationships with diverse stakeholders
Preferred Qualifications
M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or related quantitative field
Experience with performance modeling, capacity planning, or computer architecture evaluation
Knowledge of modern CPU and memory architectures, and hardware/software interactions
Experience with performance analysis tools and methodologies (e.g., profiling, tracing, instrumentation)
Proficiency with distributed compute and storage technologies for large-scale data analysis (e.g., Spark, SQL-based analytics platforms)
Experience driving cross-functional projects and influencing decisions across diverse stakeholder groups
Track record of connecting quantitative insights to strategic product or business decisions
Prior experience in Unix, Linux, macOS, or iOS development or performance optimization
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 $126,800 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
How to Get Visa Sponsorship as a Performance Engineer
Frame your degree field precisely
Performance engineering sits at the intersection of systems, software, and hardware. On your H-1B petition, your degree field should directly map to the technical domain of the role, computer science for software performance, mechanical or electrical engineering for hardware-focused positions.
Target employers with active LCA history
Companies with prior Labor Condition Application filings for performance engineer titles are far more likely to sponsor again. Established sponsors have internal processes in place, which shortens your timeline significantly and reduces the risk of an employer backing out mid-process.
Quantify your performance impact in applications
Visa officers and employers both want specificity. Highlight measurable outcomes, latency reductions, throughput improvements, or infrastructure cost savings. Concrete numbers make your petition stronger and differentiate your profile from other candidates in the H-1B specialty occupation review.
Identify whether the role is cap-subject or cap-exempt
Universities, nonprofit research organizations, and government-affiliated employers are cap-exempt, meaning you can start immediately without waiting for October 1. Performance engineering roles at these institutions are worth prioritizing if you're on a tight OPT or grace period timeline.
Use OPT STEM extension strategically
Performance engineering typically qualifies for the STEM OPT 24-month extension, giving you up to three years of work authorization after graduation. This buys two additional H-1B lottery cycles if you're not selected in your first attempt, a meaningful buffer for a competitive role.
Build your profile around system-level ownership
Employers sponsoring performance engineers want candidates who own outcomes, not just run benchmarks. Highlighting experience with profiling tools, bottleneck diagnosis, and cross-functional optimization signals the seniority that justifies the cost and complexity of visa sponsorship for this title.
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Get Access To All JobsFrequently Asked Questions
Does a performance engineer role qualify for H-1B sponsorship?
Yes, performance engineering consistently qualifies as an H-1B specialty occupation. USCIS looks for a direct relationship between the degree field and the job duties. Roles focused on software performance typically require computer science or software engineering degrees; hardware or systems-level roles map better to electrical or mechanical engineering backgrounds. A well-drafted petition makes this connection explicit.
What degree do I need for a performance engineer visa sponsorship?
Most performance engineer positions require at least a bachelor's degree in computer science, computer engineering, electrical engineering, or a closely related technical field. The key is that the degree must align with the specific duties of the role. Generalist degrees without a technical focus can weaken an H-1B petition, so employers often specify the field in the job description to support the specialty occupation argument.
How competitive is the H-1B lottery for performance engineers?
The H-1B lottery applies equally regardless of job title, approximately 85,000 slots are available annually against several hundred thousand registrations, resulting in roughly a 25% selection rate in recent cycles. However, cap-exempt employers bypass the lottery entirely. If you hold a master's degree from a U.S. institution, you also enter the advanced degree pool first, which gives you a statistical edge before the general pool draw.
Can I find performance engineer jobs with visa sponsorship on Migrate Mate?
Yes. Migrate Mate specifically filters for roles that offer visa sponsorship, so every listing you see is from an employer open to sponsoring. You can browse performance engineer postings directly and filter by visa type, which removes the guesswork of cold-applying to companies that may not sponsor. It's built for candidates who need sponsorship, not a general job board where sponsorship is buried in fine print.
Does years of experience substitute for a degree in a performance engineer H-1B petition?
Potentially, but it requires careful documentation. USCIS allows three years of relevant work experience to substitute for one year of a bachelor's degree. For a four-year degree requirement, that means 12 years of progressively responsible experience in a relevant field. This path works but draws more scrutiny than a straightforward degree-based petition, and the experience must be formally evaluated by a credentials assessment service.
What is the prevailing wage requirement for sponsored Performance Engineer jobs?
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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