Description

Description

You will help to build the tools and infrastructure that we use for validating GPU performance at scale, and learn how our GPUs work and perform at a foundational level. You will also collaborate closely with architecture, hardware design, and driver engineers to debug complex issues and drive solutions. Your deep-dive analysis and rigorous testing will identify performance bottlenecks, regressions, and opportunities for optimization across the software stack, as well as help inform our future hardware roadmap.

Responsibilities

• Analyze and benchmark GPU performance across a variety of workloads on new hardware.
• Ensure that the GPU workloads used for presilicon performance signoff are representative and relevant for our SoC validation activities.
• Identify, triage, and root-cause performance regressions in software and hardware to pinpoint bottlenecks.
• Report performance findings, status, and risks to stakeholders through detailed reports, dashboards, and presentations.
• Collaborate cross-functionally with architecture, design, and software teams to drive performance issues to resolution.
• Develop and enhance automated testing frameworks and data analysis pipelines to improve efficiency and coverage.

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.
• Experience in performance analysis, hardware validation, or a similar role.
• Strong understanding of computer system architecture, with an emphasis on GPU architecture.
• Proficiency in a scripting language such as Python (preferred), Perl, or Bash.
• Excellent problem-solving and debugging skills.
• A passion for GPU performance, graphics technologies, and high-performance computing.

Preferred Qualifications

• Hands-on experience with GPU performance profiling and debugging tools (e.g., Nsight, RGP, GPA, RenderDoc).
• Familiarity with modern graphics APIs (e.g., Metal, Vulkan, DirectX 12).
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) or other cloud-based solutions for test infrastructure.
• Knowledge of system-level power and thermal management and its impact on performance

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant .