Drimva

Meta

Software Engineer, Systems ML

$219K–$301K

Sunnyvale, CA +2 · Full-time · Posted Jul 7, 2026

Location
Sunnyvale, CA
Bellevue, WA
Menlo Park, CA
Experience
12+ years of software engineering experience; no alternative stated.
Education
Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

About the job

Leads technical strategy and delivery for large-scale ML systems infrastructure across training, inference, compilers, hardware-software co-design, and on-device optimization.

What you'll do

  • Define ML systems architecture, standards, and multi-year technical roadmaps across engineering organizations.
  • Improve performance, correctness, and reliability across ML infrastructure; develop AI-enabled workflows to reduce engineering toil.
  • Lead cross-functional initiatives, mentor engineers, and communicate technical strategy to stakeholders.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
  • 12+ years of software engineering experience with deep specialization in one or more ML systems domains.
  • Experience architecting and delivering large-scale ML training or inference infrastructure with measurable impact across multiple engineering organizations.
  • Experience building high-performance ML systems in C++, Python, or CUDA, including at the hardware-software intersection.

Nice to have

  • Experience with MLIR, XLA, or TVM, or hardware-software co-design for custom ML accelerators.
  • Contributions to industry-wide ML systems efforts through publications, open-source projects, or standards bodies.

Pay

$219,000/year to $301,000/year USD base salary; bonus and equity amounts not stated

Tools

C++, Python, CUDA, MLIR, XLA, TVM

AI focus

Uses AI tools and workflows to redesign engineering work and improve efficiency or quality; requires ongoing AI skill development, including prompt/context engineering or agent orchestration, and responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)