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Senior Graphics Software Engineer

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Hybrid (Seattle, Washington, United States)$175k - $308.5kFull-timePosted 4w ago

About the role

Apple's ProVideo Software team focuses on GPU-accelerated visual effects, AI/ML-driven image processing, and real-time playback pipelines. The role centers on designing, implementing, and optimizing GPU-based real-time image and video processing algorithms, integrating AI/ML models into production pipelines, and ensuring correctness across colorspaces and display targets across Apple platforms.

Responsibilities

  • Develop and optimize image and video processing algorithms — including AI/ML-enhanced techniques — for real-time video playback applications
  • Implement and tune GPU-accelerated visual effects using Metal, targeting high frame rates on Apple silicon
  • Architect and extend node-based image processing pipelines to support new creative features within existing application frameworks
  • Integrate new capabilities into mature NLE and camera codebases with minimal disruption to existing functionality and performance
  • Collaborate with ML researchers to bring AI/ML-based image and video models from prototype to on-device production deployment
  • Ensure accurate colorspace management throughout the full playback pipeline, from capture through display
  • Profile, debug, and resolve performance bottlenecks across CPU and GPU execution paths
  • Partner with camera hardware, display, and UX teams to define requirements and validate end-to-end visual quality

Qualifications

  • 5+ years of experience in image and video processing algorithm development, with a strong emphasis on real-time or near-real-time applications
  • Hands-on experience implementing and optimizing GPU-based visual effects for video playback pipelines
  • Proficiency in Metal for GPU programming on Apple platforms
  • Strong background in C/C++ and at least one of Objective-C or Swift for production software development
  • Demonstrated ability to integrate new features into large, mature application frameworks without regressions
  • Solid understanding of NLE playback pipelines, including colorspace management and display rendering
  • Familiarity with node-based image processing architectures and their design trade-offs
  • Familiarity with AI/ML-based image and video processing technologies and on-device model integration
  • Bachelors Degree in Computer Science, Computer Engineering, or equivalent

Skills

Required:GPU-accelerated image and video processingMetalC/C++Objective-C/SwiftColorspace managementAI/ML model integrationNLE workflow understanding

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • educational reimbursement including tuition
  • discretionary bonuses or commission payments as well as relocation eligibility
Last updated Sep 25, 2026. Interested? Apply on the company site.

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