ML Compute Acceleration Engineer

Key Skills

Analytical and Problem solving, Machine learning techniques, PyTorch, TensorFlow, JAX framework, Large Language Models - LLMs

Job 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 MLIR dialect 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.

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.

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 $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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.