Machine Learning Compiler Engineer
Company: Apple Inc.
Location: Sunnyvale
Posted on: November 13, 2024
Job Description:
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
our Apple Neural Engine software team, we are dedicated to
providing hardware acceleration using the Apple Neural Engine to
enable real-time, low power, and high-performance execution of Deep
Learning workloads. Our success is the result of very multifaceted
people working in an environment that 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?DescriptionWe develop compiler technology to accelerate
deep learning applications for Apple products. In this role, you
will be empowered to:
- Architect and develop the compiler for Apple proprietary Neural
Engine Accelerator architecture, enabling inference of deep
learning networks onto this architecture with an emphasis on
performance and power.
- Bring up new hardware silicon and add support in the compiler
for these hardware features.
- 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.
- Evaluate existing hardware blocks and work closely with the
platform architecture team on the definition of new hardware
features and hardware specification review.
- Work with the micro-architecture design team to understand the
functional and performance goals of the design.
- Architect and lead complex compiler features and mentor
engineers.Minimum Qualifications
- In-depth working knowledge of compiler architecture, front-end
and middle-end optimizations, scheduling, register allocation,
back-end code generation.
- Experience with IR and/or programming language design,
especially experience with MLIR and LLVM.
- High level C++ programming expertise and experience working in
a large and complex software stack with a consistent track record
of building high-quality production software.
- Bachelor's degree in Computer Science, Computer Engineering or
equivalent and 5+ years experience shipping products.Preferred
Qualifications
- Experience with compiling for distributed and parallel
execution environments including distributed execution, shared
memory, synchronization, etc.
- Experience with neural networks inference on dedicated SoC or
GPU is highly desired.
- Understanding of JIT techniques for dynamic optimization and
execution of code.
- Ability to analyze and optimize program execution paths.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 $175,800 and $312,200, 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
reimbursement for certain educational expenses - including tuition
- related to advancing your career at Apple. Additionally, this
role might be eligible for discretionary bonuses or commission
payments as well as relocation. Learn more about Apple
Benefits.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 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.
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Keywords: Apple Inc., Tracy , Machine Learning Compiler Engineer, Engineering , Sunnyvale, California
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