AI Systems Engineer - ML Infrastructure & Acceleration

Salem (OR)

On-site

USD 184,000 - 257,000

Full time

10 days ago

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Benefits offered by this job

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Job summary

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will work on AI infrastructure and hardware acceleration to build and optimize intelligent ML systems powering Meta's products, with opportunities across multiple locations.

The role emphasizes cross-team collaboration, setting project impact goals, and mentoring other engineers. Compensation includes bonus, equity, and comprehensive benefits, with roles available in various sites.

Qualifications

Bachelor's degree in CS/Engineering or equivalent practical experience.
Specialized experience in hardware accelerators architecture, GPU architecture, ML systems, AI infrastructure, HPC, optimization, or ML frameworks (e.g. PyTorch).
Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.

Responsibilities

Apply AI infrastructure and hardware acceleration techniques to build and optimize intelligent ML systems.
Set goals related to project impact, AI system design, and infrastructure efficiency.
Collaborate with partners to deliver impact through data-driven analysis.
Drive large efforts across multiple teams.
Define use cases and develop benchmarks to evaluate approaches.
Apply knowledge of ML infrastructure interactions with surrounding systems.