# Senior Software Engineer, ML Evaluation & Introspection Infrastructure at Aurora

- Company: Aurora
- What the company does: Step inside the world of self-driving freight, powered by the Aurora Driver. Delivering the benefits of self-driving technology safely, quickly, and broadly. Backed by Greylock, Index and Lightspeed.
- Company website: https://aurora.tech/
- Type: Startups (AI role)
- Level: Senior
- Location: Seattle, WA
- Work setup: Remote
- Pay: $162K to $260K base salary per year (USD)
- Posted: 2026-10-19
- Apply by: 2026-12-03
- Apply: https://jobs.ashbyhq.com/aurora-operations-inc/52ff9be4-0e2f-43f0-8867-c84cb123a1c5?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/aurora-senior-software-engineer-ml-evaluation-and-introspection-infrastructure/

## About the role

Build and scale evaluation pipelines that compare model versions on large driving datasets: offline evals, slice-based metrics, regression detection, and model-vs-model reports. Own embedding and vector-search pipelines over driving data, versioned per model, so engineers can search, cluster and compare how any model represents the world. This is where you’d start: owning embedding generation and search end to end. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Typically 5+ years of professional software engineering experience building backend, data or ML infrastructure
- Strong Python, and proficiency with SQL
- Designed and operated large-scale batch or data pipelines on cloud infrastructure, including backfills, retries and cost management
- Built systems that measure or evaluate something: metrics, experimentation, evaluation or analytics platforms
- Experience with distributed compute and container orchestration (e.g. Kubernetes, AWS Batch or similar)
- ML evaluation infrastructure: eval harnesses, golden datasets, regression detection, A/B model comparison

Tags: Software Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/aurora-senior-software-engineer-ml-evaluation-and-introspection-infrastructure/