# Data Infrastructure Engineer

**Company:** [Bayworks](https://zerogtalent.com/ai-companies/bayworks)
**Location:** San Francisco, CA, US
**Work mode:** On-site
**Employment type:** Full Time
**Salary:** USD 160K–200K/yr
**Listed:** 2026-11-04

[View and apply on Zero G Talent](https://zerogtalent.com/ai-jobs/bayworks/data-infrastructure-engineer-120468)

## Job description

### Overview

Self-driving companies record every mile a car drives. Nobody records how it gets fixed. Repair expertise lives in technicians' heads: undocumented, unstructured, and disappearing as their shortage grows.

Bayworks captures voice and video data as technicians repair cars and verifies the work. Every repair becomes ground truth for how cars get fixed: symptom, diagnosis, fix, outcome. This compounds into a system that runs the dealership's operations and standardizes every repair, making it faster and compliant with manufacturer specifications.

### Why now

In 110 days, we've gone from 0 to 80+ dealerships covering 4,000 cars a day, including a top-50 US dealer group ($3B+ annual revenue) and have hit $XMn ARR. We know what's working.

Now we need to get to 1000 rooftops / $10M ARR. To get there we need someone to own our data infrastructure: the pipelines that carry every repair from the service bay to ground truth, across every dealership we add. The data is there; you build the system it runs on.

### World-class team

We're engineers from BITS Pilani.

-   **Kaustubh (Founder & CEO)** built voice AI at Sarvam (India's frontier AI lab) deployed across government and public enterprises, and before that worked in automotive retail lending with carmakers.
-   **Shubham (Founder & CTO)** built the underwriting engine at Navi, a $2B fintech, powering $10M+ in loans every day, and the mobile app at Scapia, which scaled to millions of users.

### Investors

Backed by Y Combinator (F26)

### What you'll work on

-   Build the pipelines that ingest voice, video and dealership data from every repair and turn it into structured, queryable ground truth. This is a hands-on role; what you build ships to production
-   Own the integrations with dealership management systems, so data flows reliably in both directions as we add rooftops
-   Design storage for large volumes of audio and video, with the metadata, versioning and access controls that make it usable for training and evals
-   Build the monitoring and data quality checks that tell us something broke before a dealer does
-   Scale the platform from 80+ dealerships to 1000 rooftops without it falling over

### You can be a great fit if

-   You've built and run data pipelines or platforms in production, not just prototypes
-   You're comfortable with messy real-world data: large audio and video files, inconsistent dealership records, systems that were never built to talk to each other
-   You're strong in Python and SQL, and have worked with Postgres, object storage and cloud infrastructure
-   You move fast and don't overthink
-   You care whether the system holds up when every service bay is busy, not just in staging
-   You want to be at a company that's early enough that your work actually matters

### Compensation

-   **This role includes:**
    -   160K - 200K base salary
    -   Meaningful equity
    -   Medical, dental, and vision insurance
    -   Free DoorDash vouchers for everyday meals

### About the interview

1.  30 mins with the founders
2.  Assignment: a short system design exercise on how repair data flows from the service bay into our platform
3.  Offer

## Other open roles at Bayworks

- [Founding Engineer](https://zerogtalent.com/ai-jobs/bayworks/founding-engineer-120467) — San Francisco, CA, US
- [Founding SDR](https://zerogtalent.com/ai-jobs/bayworks/founding-sdr-120466) — San Francisco, CA, US
- [Applied Data Scientist](https://zerogtalent.com/ai-jobs/bayworks/applied-data-scientist-120465) — San Francisco, CA, US

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*