SoC AI/ML Performance Engineer

Apple Inc.; Seattle (WA); Hybrid; USD 175,000 - 309,000; Full time

Benefits offered by this job

Employee stock programs

Stock purchase plan

Medical and dental coverage

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in Seattle invites applications for a performance-focused role within our Platform Architecture group. You will analyze existing and new workloads to identify bottlenecks in hardware and software, and provide recommendations to improve Apple hardware and software performance.

Collaborate with developers to identify usage patterns and feedback for silicon teams. You will design optimized implementations of ML workloads on Apple Silicon, including Neural Engine, GPU, and CPU, and work

Qualifications

• Bachelor’s degree or equivalent job‑related experience in Computer Engineering, Computer Science, or a related field.
• Experience with AI/ML, graphics, or HPC performance benchmarks and workloads.
• Proficiency in C/C++ and Python; experience with ML frameworks is a plus.

Responsibilities

• Conduct performance studies to inform and validate architecture decisions.
• Create optimized implementations of machine learning workloads on Apple Silicon, including Neural Engine, GPU, and CPU.
• Collaborate with system teams to create performance models of emerging AI/ML techniques and analyze system architecture trade-offs.
• Work with software development tools teams to deliver performance analysis instruments and optimized libraries and frameworks for AI/ML applications.

Skills

C/C++

Python

Education

Bachelor’s degree in Computer Engineering, Computer Science, or related field

MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or closely related field

Tools

PyTorch

Job description

Apple Inc. in Seattle invites applications for a performance-focused role within our Platform Architecture group. You will analyze existing and new workloads to identify bottlenecks in hardware and software, and provide recommendations to improve Apple hardware and software performance.

Collaborate with developers to identify usage patterns and feedback for silicon teams. You will design optimized implementations of ML workloads on Apple Silicon, including Neural Engine, GPU, and CPU, and work