6487 Ai Ml Performance Analysis And Validation Engineer jobs near me

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The Silicon Modeling and Development Team in the Graphics and Compute Technologies organization is responsible for capturing and analyzing advanced graphics, media, and AI/ML use cases and execute them on models of future silicon. We are looking for exceptionally dedicated individuals who possess strong interest in the modeling, simulation and analysis of mobile, desktop and data center devices.

Description

Our team is seeking extraordinary performance analysis engineers with validation experience who are passionate about providing robust modeling solutions for projecting the performance of machine learning applications on Apple Silicon platforms.

This is an opportunity to shape the architecture of future AI/ML applications at Apple and influence the design of the next generation of hardware platforms.","responsibilities":"Build models of applications and platforms, and the associated tools used to test the viability of future products and project their performance.

Analyze and validate important use cases on existing products with respect to performance goals.

Analyze and reason about performance data.

Work on open-ended and challenging issues.

Collaborate with cross-functional teams including product, hardware architecture, software driver, firmware, frameworks and application teams, to define a vision for future products and present analysis results.

Help define technical requirements of Apple's future products.

Learn about the state of the art in AI/ML, System-on-Chip (SoC), chip-level architecture, and data centers.

Preferred Qualifications

Hands on experience with implementing AI/ML applications with state-of-the-art architectures such as CNN, transformer and diffusion models and analyzing their performance characteristics.

Experience in modeling data center architectures.

Experience in building simulation technologies.

Experience collaborating in large cross functional projects.

Minimum Qualifications

Technical BS/MS/PhD or equivalent degree in Computer Science or related field.

3+ years of proven industry or research experience in building performance models and performing validation of AI/ML applications running on dedicated accelerators.

Deep understanding of Computer Architecture including processing units, interconnects and memory systems.

Strong ability to build models of applications and platforms, characterize their performance and reason about them.

Strong understanding of performance trade-offs in distributed computing systems.

Excellent proficiency in Python and strong software engineering skills.

Good understanding of machine learning fundamentals and familiarity with ML frameworks (PyTorch, JAX, CoreML).

Strong data reasoning skills.

Excellent communication and collaboration skills.

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 $150,400 and $277,600, 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.