ML Compute Acceleration Engineer

ML Compute Acceleration Engineer Waltham,Massachusetts,United States Software and Services 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 to lay the foundation of technologies like Apple Intelligence. Description Our 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 using GPU and Neural Engine. Role has the opportunity to influence the design of compute and programming models in next generation GPU and Neural Engine architectures. Responsibilities: * Adding optimizations in machine learning computation graph. * Defining and implementing APIs in Metal Performance Shaders Graph, investigating new algorithms. * Developing and maintaining MLIRdialect in Apple and open source with upgrades using latest LLVM. * Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families. * Tune GPU and Neural Engine accelerated compute across products. * Tuning the cost model and optimizing runtime dispatch to multiple IPs to get best performance on Apple Silicon. Intended deliverables: * GPU Compute acceleration technology. * Apple Intelligence implementation and acceleration. * Optimized compute graphs across products. If this sounds of interest, we would love to hear from you! Minimum Qualifications Proven programming and problem-solving skills. Good understanding of machine learning fundamentals. GPU compute programming models & optimization techniques. GPU compute framework development, maintenance, and optimization. Experience with system level programming and computer architecture. Experience with high performance parallel programming, GPU programming or LLVM/MLIR compiler infrastructure is a plus. Key Qualifications Preferred Qualifications Background in mathematics, including linear algebra and numerical methods. Strong communication and collaboration skills. Strong background of building high performance, production quality software on schedule. Experience with compiler technologies. Experience with adding computational graph support, runtime or device backend to Machine learning libraries (TensorFlow, PyTorch or JAX) support is a plus. Education & Experience Additional Requirements Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. ( Apple Footer Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Created: 2024-11-05