# Software Engineer - Systems at Doe

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Adoe%3A11e8bca9-1df2-46fc-8a88-a9492302db5a (read 2026-11-08).

## Facts (observed)

- Company: [Doe](https://alderhq.app/companies/doe)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2025-08-01 (464 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/doe/11e8bca9-1df2-46fc-8a88-a9492302db5a
- Skills listed (inferred): Rust, C++

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 1752): p25 $161k, median $200k, p75 $239k

## Description (the employer's text)

If you have personally made over $100,000 via trading (manual / algo) or have a github repo with 500+ stars, please email founders@doe.so directly to have your application fast-tracked.

At Doe, we’re building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure.

### Here's why we might not be the right fit for you

• We work hard and have a high-velocity environment with lots of growth opportunities.

• We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing.

• You will be responsible and accountable for making high-impact decisions that determine

### Ideal candidate credentials

Expert-level understanding of systems programming (C++ or Rust, concurrency, databases, operating systems)

Previous experience founding or working at startups is a plus

Has written prompts / tinkered with GPT models and apps

### What you'll do

As a systems engineer at Doe, you’ll help build the core systems powering our agents' ability to process and query massive volumes of unstructured data at enterprise scale.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Adoe%3A11e8bca9-1df2-46fc-8a88-a9492302db5a and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.