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GPU Performance Modeling Engineer

2 months ago


Santa Clara, California, United States Apple Full time
GPU Performance Modeling Engineer

We are seeking a highly skilled and motivated engineer to join our Platform Architecture GPU Performance Modeling Team. As a GPU Performance Modeling Engineer, you will be responsible for developing and maintaining GPU performance models from the shader core up to the full system.

Key Responsibilities:

  • Develop and maintain GPU performance models using C++ code
  • Collaborate with architecture, design, and software partners to define and tune Apple's future GPU architectures
  • Assess the feasibility of new hardware and software features, running performance experiments, and reporting results
  • Analyze existing and new workloads to identify bottlenecks in the design or software and work on solutions with the team
  • Architect new Metal APIs, simulator features, and brainstorm novel ideas to boost simulation performance and accuracy

Requirements:

  • BS and a minimum of 3 years relevant industry experience
  • MS or PhD in Computer Science, Electrical Engineering, or Computer Engineering preferred
  • Strong knowledge and experience in GPU architecture, micro-architecture design, or performance analysis with an emphasis on hardware/software co-design
  • Strong software skills and proficiency in C/C++ and a scripting language such as Python or Ruby
  • Experience working on performance model development and experimentation (GPU or CPU)
  • Knowledge and experience with GPU performance benchmarks and workloads
  • Strong interpersonal skills and creativity to help the team solve design challenges

What We Offer:

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Reimbursement for certain educational expenses
  • Discretionary bonuses or commission payments

Apple is an Equal Opportunity Employer:

We are committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.