GPU Performance Modeling Driver Engineer

27 Minutes ago • All levels • $139,500 PA - $258,100 PA
Graphics Engineer

Job Description

Apple is seeking a highly motivated, innovative, and dedicated engineer to join the Platform Architecture GPU Modeling Team, driving advanced exploration for next-generation GPU architectures in iPhone, iPad, and Mac products. This role involves creating and maintaining C++ code modeling the software stack for future GPUs, implementing Metal APIs, and a custom driver stack to interact with functional and performance models. The engineer will collaborate with architects, modeling engineers, compiler engineers, and software teams to assess new hardware and software features, run performance experiments, and analyze results.
Good To Have:
  • MS or PhD degree
  • 3+ years of relevant experience
  • Knowledge of drivers and implementation details of graphics and compute APIs
  • Familiarity with GPU performance models and ISS simulators
  • Experience working with cutting edge graphics applications/games/benchmarks
  • Familiarity with compilers, operating systems and GPU/CPU architecture
  • Troubleshooting skills and attention to detail
  • Creative problem-solving skills
Must Have:
  • Bachelor's degree
  • Software skills and proficiency developing in C++
  • GPU driver implementation related experience
  • Graphics API familiarity with one or more of: Metal, DirectX, Vulkan, OpenGL
Perks:
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Reimbursement for certain educational expenses (tuition) for career advancement
  • Opportunity to become an Apple shareholder through discretionary employee stock programs
  • Eligibility for discretionary restricted stock unit awards
  • Option to purchase Apple stock at a discount through Employee Stock Purchase Plan
  • Eligibility for discretionary bonuses or commission payments
  • Relocation assistance

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Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Dynamic, hard-working people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all hardware products. Join us to help deliver the next groundbreaking product! We are seeking a highly motivated, innovative, and dedicated engineer to join the Platform Architecture GPU Modeling Team; we are a group that is driving advanced exploration for next generation GPU architectures in iPhone, iPad and Mac products. We rely on strong analytical skills and close collaboration to deliver the best overall solution to our customers. In this highly visible role, you will be at the center of a chip design effort working with all disciplines, with a critical impact on getting highly performant products to millions of customers quickly. This is an opportunity to join world-class GPU team to collaborate, develop and improve GPU simulators for research, performance analysis, and architectural tuning.

As part of the Platform Architecture GPU Modeling team, you will be working with architecture, design and software partners on the definition and tuning of future GPU architectures. The role involves the creation and maintenance of C++ code modeling the software stack for next gen GPUs. You will be responsible for implementing new and existing Metal APIs to interact with a functional and performance model of the GPU. Implementing a custom driver stack to allow the model to interact with modern workloads using ray tracing, mesh shading, and more, is critical to evaluation of new GPU features. Additionally, you will be working in the model itself, implementing the functional and performance aspects of the various graphics and compute APIs. You will collaborate with experienced architects, modeling engineers, compiler engineers, and software teams to assess the feasibility of new hardware and software features, running performance experiments and analyzing results.

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