Senior ASIC Kernel Architect for AI Accelerators

Meta; Sunnyvale (CA); Sur place; USD 190 000 - 250 000; Plein temps

Résumé du poste

Meta is seeking an ASIC engineer with architecture kernel development to join our infrastructure team. You will help build accelerators for top workloads and prototype a PyTorch backend for these accelerators, working with AI/ML experts to scale data centers efficiently.

You will contribute to developing AI kernels, performance analysis tools, and validation workflows across pre-silicon and RTL environments, shaping next-gen Meta AI accelerators and green data center designs.

Qualifications

• Bachelor's degree in CS/CE or related field.
• 6+ years of experience mapping parallel workloads for HPC or kernel development.
• Proficient in C, C++, and Python.
• Experience with CUDA or similar programming models.
• Understanding GPU or AI accelerator architectures.
• Experience in pre-silicon validation and tooling
• Firmware, API design, and device driver development experience
• Strong problem-solving and collaboration in a fast-paced environment

Responsabilités

• Work on developing AI kernels for Meta AI models on Meta AI Accelerators.
• Develop tools for static performance analysis. Debug performance on the dynamic performance simulator
• Identify the compiler, ISA, and optimizations. Help validate performance on RTL simulation / emulation

Connaissances

Massively parallel workloads

HPC kernel development

C

C++

Python

CUDA

GPU architectures

Pre-silicon validation

Firmware development

API design

Device drivers

Library implementation

Formation

Bachelor's degree in Computer Science / Computer Engineering

Master's or PhD in Electrical Engineering / Computer Engineering

Description du poste

Meta is seeking an ASIC engineer with architecture kernel development to join our infrastructure team. You will help build accelerators for top workloads and prototype a PyTorch backend for these accelerators, working with AI/ML experts to scale data centers efficiently.

You will contribute to developing AI kernels, performance analysis tools, and validation workflows across pre-silicon and RTL environments, shaping next-gen Meta AI accelerators and green data center designs.