{"schemaVersion":"jobsearcher.job.v1","id":"1afebb0484982ca3773f33cf","url":"https://jobsearcher.com/jobs/1afebb0484982ca3773f33cf","canonicalUrl":"https://jobsearcher.com/jobs/1afebb0484982ca3773f33cf","title":"GPU ML Engineer","description":"Apple’s Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team.\n\nDescription\n\nOur team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.\n\nRole has the opportunity to influence the design of compute and programming models in next generation GPU architectures.\",\"responsibilities\":\"Adding optimized GPU compute kernels across Machine Learning, Image Processing, Linear Algebra and Computer Vision.\n\nDefining and implementing APIs in Metal Performance Shaders.\n\nPerforming in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.\n\nPartnering with Platform Architecture teams to define Apple GPU's compute hardware roadmap. Working with hardware team to analyze performance on future silicon\n\nTune GPU-accelerated compute across products.\n\nPreferred Qualifications\n\nExcellent programming and problem-solving skills.\n\nStrong communication skills.\n\nStrong collaboration skills.\n\nGood understanding of machine learning fundamentals.\n\nBackground in mathematics, including linear algebra and numerical methods is a plus.\n\nMinimum Qualifications\n\nTechnical BS/MS degree and Equivalent experience.\n\n2 plus years of experience\n\nGPU compute kernel framework development, maintenance, and optimization.\n\nExperience with system level programming and computer architecture.\n\nExperience with high performance parallel programming, GPU programming experience\n\nPay & Benefits\n\nAt 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 $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.\n\nApple 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\n\nNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.","company":"Apple","rawCompany":"apple","city":"Cupertino","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-04T00:14:42.125Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GPU ML Engineer","description":"Apple’s Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team.\n\nDescription\n\nOur team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.\n\nRole has the opportunity to influence the design of compute and programming models in next generation GPU architectures.\",\"responsibilities\":\"Adding optimized GPU compute kernels across Machine Learning, Image Processing, Linear Algebra and Computer Vision.\n\nDefining and implementing APIs in Metal Performance Shaders.\n\nPerforming in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.\n\nPartnering with Platform Architecture teams to define Apple GPU's compute hardware roadmap. Working with hardware team to analyze performance on future silicon\n\nTune GPU-accelerated compute across products.\n\nPreferred Qualifications\n\nExcellent programming and problem-solving skills.\n\nStrong communication skills.\n\nStrong collaboration skills.\n\nGood understanding of machine learning fundamentals.\n\nBackground in mathematics, including linear algebra and numerical methods is a plus.\n\nMinimum Qualifications\n\nTechnical BS/MS degree and Equivalent experience.\n\n2 plus years of experience\n\nGPU compute kernel framework development, maintenance, and optimization.\n\nExperience with system level programming and computer architecture.\n\nExperience with high performance parallel programming, GPU programming experience\n\nPay & Benefits\n\nAt 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 $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.\n\nApple 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\n\nNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.","datePosted":"2026-08-04T00:14:42.125Z","dateModified":"2026-08-04T00:14:42.125Z","hiringOrganization":{"@type":"Organization","name":"Apple","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cupertino","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1afebb0484982ca3773f33cf"},"url":"https://jobsearcher.com/jobs/1afebb0484982ca3773f33cf"}}