Software Engineer, Systems ML at Meta
Bellevue, WA
$154,003–$217,000from the description
Jul 16, 2026
Bellevue, WA
Jul 21, 2026
What this job asks for AI summary
A systems-focused engineering role centered on building, optimizing, and maintaining large-scale ML training and inference infrastructure in C++ and Python. Day-to-day work spans distributed computing frameworks, hardware-aware performance tuning, profiling, and partnering with research and product teams to keep AI systems running reliably at scale. Suited to engineers with 6+ years in ML systems or high-performance computing.
Senior level · 6+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
No specific work location is mentioned in the posting; the CBSA is left blank. Meta commonly posts roles across multiple US sites (Menlo Park, Seattle, New York, etc.) without specifying one here.
The degree requirement is listed as a Bachelor's in CS/CE or 'equivalent practical experience,' so it is treated as no hard degree gate.
PyTorch and TensorFlow are listed as interchangeable examples of ML frameworks under the required qualifications; PyTorch is named first and TensorFlow captured as an alternative.
CUDA and ROCm are listed as interchangeable GPU programming options under Preferred Qualifications.
MLIR, LLVM, TVM, XLA, and IREE are listed together as ML compiler technology alternatives under Preferred Qualifications.
The alt SOC (15-2051 Data Scientists) is noted because the role sits at the intersection of ML infrastructure engineering and AI systems, though the primary day-to-day work is clearly software/systems development (15-1252).
Compensation is stated as $154,003–$217,000/year plus bonus, equity, and benefits.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML training/inference pipelines, profiling/performance analysis tools.
Read the full posting
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