# Robotics Software Engineer - New Grad at Relling

> Onsite · United States · Junior · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Arelling%3Aa31f91ae-30f9-4e36-b9d2-2cb74c398d2e (read 2026-11-05).

## Facts (observed)

- Company: [Relling](https://alderhq.app/companies/relling)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2026-10-02 (34 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-03
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/relling/a31f91ae-30f9-4e36-b9d2-2cb74c398d2e
- Skills listed (inferred): Python, C++

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 67): p25 $100k, median $133k, p75 $145k

## Description (the employer's text)

### About Relling Systems

Relling Systems (YC S25) builds ready-to-deploy AI robot workcells for US manufacturers. We design and test in San Francisco and put systems to work on factory floors. This role is in person in Potrero Hill, San Francisco.

### What you'll do

Build software that connects perception, planning and control on real robot hardware.

Write tests, diagnostic tools and logs that make intermittent failures easier to reproduce.

Work through sensor and runtime issues with the engineers bringing up each cell.

### What we're looking for

Strong programming fundamentals in Python or C++, with a project you can explain end to end.

Comfort debugging across software and hardware interfaces.

ROS/ROS 2, computer vision or robot motion projects are useful; a specific middleware background is not required.

### How to apply

Apply with your resume and a short description of something you built. Project links are optional. Tell us what you owned, what failed and how you tested the fix. Coursework, student teams and personal projects count.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Arelling%3Aa31f91ae-30f9-4e36-b9d2-2cb74c398d2e and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.