AI/ML Performance Analysis and Validation Engineer

What you'll do

• Build application and platform models and tools to test future products and project performance.
• Analyze and validate use cases against performance goals, and interpret performance data.
• Collaborate across product, hardware, software, firmware, frameworks, and application teams to define future product requirements and present analysis.

What they ask for

• Technical BS/MS/PhD or equivalent degree in Computer Science or a related field.
• 3+ years of industry or research experience building performance models and validating AI/ML applications running on dedicated accelerators.
• Deep understanding of computer architecture, including processing units, interconnects, and memory systems; strong understanding of performance trade-offs in distributed computing systems.
• Excellent proficiency in Python, strong software engineering skills, and understanding of machine learning fundamentals.

Nice to have

• Hands-on experience implementing and analyzing AI/ML applications using CNN, transformer, and diffusion architectures.
• Experience modeling data center architectures or building simulation technologies.

Pay

USD 150,400–USD 277,600 base salary

Tools

Python, PyTorch, JAX, CoreML, CNN, transformer, diffusion models, System-on-Chip (SoC)

AI focus

Model, validate, and analyze the performance of AI/ML applications on dedicated accelerators and Apple Silicon platforms, informing future hardware and product design.