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Apple

Silicon Validation Software Engineer - GPU IP Validation and Integration

Cupertino, CA$129,300 – $194,700Posted 24 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
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65% would recommend this company to other women
66% say the CEO supports gender diversity

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Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices! Join a team of expert software engineers with diverse backgrounds (graphics, video encoding, video processing, file systems, CPUs and caching, kernel programming, embedded systems) to develop graphics validation software and integrate it into system level test environment.

Description

You will be writing shaders that stress the GPU and cause high bandwidth traffic to and from the memory subsystem. You will apply your deep understanding of GPU architecture to write tests that stress the pipeline and exercise the interaction between the GPU and different IP blocks on the SoC. You will use the necessary driver and firmware APIs to compile shaders and prime operations to move data around in the SoC using the GPU threads/SIMD groups. You will understand the different levels of GPU memory hierarchy (Shared, Global, etc.) You will debug SoC software and hardware issues, and perform system level validation.

Preferred Qualifications

Experience with Graphics, OpenGL, and CUDA

Experience with image processing, memory hierarchies, and compilers

Strong C/C++ programming skills

Implement and run ML/LLM workloads for GPU characterization

Proficient in Python and GNU Make

Deep understanding of compute systems, operating systems, and computer architecture

Passionate about writing code close to the hardware, and debugging

You enjoy the validation mentality: meticulous, curious, and persistent.

Understanding of the Display pipeline is a plus.

In-depth knowledge and experience in SoC system level validation and debugging of SoC software and hardware issues.

Minimum Qualifications

A minimum of a bachelor's degree in electrical engineering, computer engineering, or related field.

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 $129,300 and $194,700, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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