Software Engineer, Systems at Eventual
San Francisco, CA
$150,000–$250,000
Jul 13, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A systems engineering role focused on building and improving core components of an open-source distributed data engine designed for multimodal AI workloads. Day-to-day work spans query optimization, execution engine improvements, distributed scheduling, and storage integrations with formats like Parquet, Iceberg, and Delta Lake. Best suited to engineers with a solid background in systems programming and hands-on experience with distributed data systems or databases.
Mid level · 3+ years · San Francisco-Oakland-Berkeley, CA · 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
Roughly 1,000 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (software developers). range 520–1,300
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $190,744 (middle half $167,095–$224,501).
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 (6)
The role is titled 'Software Engineer' with no level modifier, so advertised seniority is Unspecified. The 3+ years requirement and scope (working within a systems team on a defined engine) support a Mid-level classification, despite the technically demanding subject matter.
C++, Rust, and C are listed together as interchangeable examples of 'systems programming' fundamentals — emitted as one skill with alternatives.
Distributed systems examples (Hadoop, Spark, Dask, Ray, BigQuery, PostgreSQL) are illustrative ('e.g.') within the requirements section; they are captured as preferred context skills rather than individual hard gates, since the hard gate is the broader 'distributed data systems' experience.
Apache Parquet, Iceberg, and Delta Lake appear in the responsibilities narrative as integration targets, not as explicit candidate requirements — marked preferred.
No compensation figures are disclosed in the posting.
The role requires 4 days/week in-office at the SF Mission district; it is not remote.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.