SummaryPosted: Feb 19, 2025Weekly Hours: 40 Role Number:200576617Apple’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. DescriptionDescriptionOur 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. Role 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. Defining and implementing APIs in Metal Performance Shaders. Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families. Partnering with Platform Architecture teams to define Apple GPU's compute hardware roadmap. Working with hardware team to analyze performance on future silicon. Develop/maintain/optimize ML Inference and Training acceleration technologies. Intended deliverables: GPU compute acceleration technology. Optimized compute kernels, computational graph and ML training / inference technologies across products. If this sounds of interest, we would love to hear from you! Minimum QualificationsMinimum QualificationsProven programming and problem-solving skills.Good understanding of machine learning fundamentals.GPU compute programming models & optimization techniques.GPU compute framework development, maintenance, and optimization.Machine learning development using one or more ML frameworks (TensorFlow, PyTorch or JAX).Key QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsExperience with adding computational graph support, runtime or device backend to Machine learning libraries (TensorFlow, PyTorch or JAX) support is a plus.Experience with high performance parallel programming, GPU programming or LLVM/MLIR compiler infrastructure is a plus.Experience with system level programming and computer architecture.Background in mathematics, including linear algebra and numerical methods.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsPay & BenefitsPay & BenefitsAt 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 $143,100 and $264,200, 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.

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