Software Performance Engineer, Vision Products Group
Apple - Sunnyvale, United States of America
Posted Mar 18, 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
Software Performance Engineer, Vision Products Group Sunnyvale, United States of America The Vision Product Group is working on exciting new technologies. We are looking for a driven and dedicated performance engineer. This team is building the core foundational platform for some of Apple's most advanced technologies in spatial computing. As part of our creative organization, you will have a uniquely rewarding opportunity to craft future products that will delight and inspire millions of people every day. As an engineer in this role you will help with ANE efficiency as well as improving overall visionOS responsiveness. You will work closely with Computer Vision and Foundation Model teams to diagnose performance bottlenecks and develop innovative solutions to optimize compute and memory footprint. Your responsibilities will include: Analyze, benchmark and identify performance bottlenecks for ML/Foundation models in Vision Pro Develop in-house performance solutions (such as analysis tools) to optimize inference stack & identify performance wins. Conduct deep-dive analysis to identify & reduce bottlenecks and measure inference improvements in terms of memory, compute and latency. Partner with feature and product teams to consult on algorithm and SW architectural design decisions to achieve visionOS performance goals Optimize SW and HW via tunable parameters & integrate research findings into product implementation Designing and implementing computer vision and machine learning algorithm optimizations; CPU C++ implementations and python bridge to TensorFlow/Pytorch; Identify performance bottlenecks in software C++ code using advanced CPU profiling technologies and in ML networks. Analyzing performance issues and resolving performance regressions reported by Apple's users
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