Graphics (GPU) Performance Analysis Engineer
Apple - Austin, United States of America
Posted Apr 13, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Graphics (GPU) Performance Analysis Engineer Austin, United States of America Do you love creating elegant solutions to highly complex challenges? In our Silicon Technologies group, we 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. In this role as part of the GPU Performance Analysis team, you will be working with architecture, design, and software partners on performance analysis, tuning, and debug of Apple's future GPU architectures! As a GPU Performance Analysis Engineer, your responsibilities will include the following: - Developing performance test plans to validate GPU performance. - Analyzing performance issues to identify hardware and software problems. - Proposing novel hardware solutions to improve GPU performance. - Developing tools to aid in the efficient measurement, communication and improvement of GPU performance. - Validating the functionality and quantify the performance benefit of the features and algorithms implemented in hardware and software. Minimum Qualifications: Experience in computer architecture. Experience in GPU architecture. Experience in GPU or CPU performance analysis. Experience in programming with OpenGL/CL and/or Metal API. Programming skills in Python, C and C++. BS + minimum of 3 years of relevant experience. Preferred Qualifications: We are looking for fast learners with good problem
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