{"title": "Machine Learning Compiler Engineer", "summary": "We live in a mobile and device-driven world where Deep Learning technology enables a new class of applications. Are you passionate about enabling unique user experiences on Apple products; such as Apple Vision Pro, iPhone, iPad, Apple Watch and the Mac? Imagine the countless possibilities powered by Artificial Intelligence! In the Video Engineering team, we are dedicated to providing hardware acceleration using the new proprietary Apple Neural Engine SOC to enable real time, low power and high performance execution of Deep Learning workloads. Our success is the result of very dynamic people working in an environment which cultivates creativity, partnership and cross-functional collaboration. These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives! Will you help us design the next generation of revolutionary Apple Products?", "description": "We develop compiler technology to accelerate deep learning applications for Apple products. In this role, you will be empowered to: \u2022  Architect and develop the compiler for Apple proprietary Neural Engine Accelerator architecture, to enable inference of deep learning networks onto this architecture with an emphasis on performance and power \u2022  Bring up new hardware silicon and add support in the compiler for these hardware features \u2022  Work on bringing the compiler code to production quality and enable a wide range of applications of deep learning technology for internal clients and 3rd party developers \u2022  Evaluate existing hardware blocks and work closely with the platform architecture team on the definition of new hardware features, and hardware specification review \u2022  Work with the micro-architecture design team to understand the functional and performance goals of the design", "key_qualifications": "Passion for developing and optimizing compilers for modern architectures; Project experience related to Machine Learning compiler development; Experience with neural networks inference on dedicated SOC, GPU, CPU or DSP; High level C++ programming expertise; Excellent problem solving and debugging skills; Excellent communication and collaboration skills", "preferred_qualifications": "", "education_experience": "BS and a minimum of 3 years relevant industry experience", "additional_requirements": "", "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 $135,400 and $250,600, 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\u2019s 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\u2019s Employee Stock Purchase Plan. You\u2019ll 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 \u2014 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"}