# Senior/Staff Software Engineer, ML Data

**Company:** [Nuro](https://hotfix.jobs/companies/nuro)
**Location:** Mountain View, CA
**Role:** ML Engineering
**Salary:** $194k – $352k/yr
**Experience:** 7+ years
**Skills:** Python, C++, Machine Learning, Data Pipelines, Active Learning, Vector Databases, Workflow Orchestration, Ml Frameworks, Deep Learning, Kubernetes
**Posted:** 2026-02-25

> Senior/Staff Software Engineer architects ML data pipelines for autonomy AI at Nuro, transforming massive datasets into training signals. Requires 7+ years experience, C++/Python proficiency, and expertise in end-to-end ML data systems.

## Job Description

## About the Work

- **Data Pipeline Architecture:** Design and build scalable data ingestion and processing pipelines that turn data streams into targeted training datasets. Lead initiatives to improve data quality, detect anomalies, and manage out-of-distribution examples to ensure robust model training and deployment.
- **Cross Functional Leadership:** Work across autonomy teams and data infra teams to build effective ML data pipelines and products for ML engineers.
- **ML Tooling & Introspection:** Develop infrastructure and visualization tools that allow ML researchers to easily introspect data, identify model failure modes, query for new data samples, and understand data distribution shifts.
- **Labeling Operations Integration:** Collaborate closely with the data operations team to define quality standards, automate quality control (QC), and streamline the feedback loop between model performance and annotation guidelines.
- **Active Learning & Data Mining Engines:** Lead the engineering effort to operationalize research-grade active learning methods. E.g. build systems that compute embeddings or run inference at scale, manage vector databases, and automatically sample the most informative data points for labeling.

## About You

### Required Qualifications

- 7+ years of experience with a proven track record of technical leadership architecting and delivering complex, multi-system ML data engineering data systems.
- Education: B.S./M.S. in Computer Science, Artificial Intelligence, Electrical Engineering, Robotics, or equivalent practical experience.
- Understanding of end-to-end ML data pipelines and their interaction with model training and evaluation.
- Strong proficiency in C++ and Python, with petabyte-level data management experience.
- Experience taking data concepts (e.g., "uncertainty sampling") and turning them into stable, 24/7 production services.

### Preferred Qualifications

- Prior experience working in large companies with productionized AI systems working on data engines for large scale machine learning.
- Experience in workflow orchestration, introspection UI/UX for data understanding, and ML frameworks for foundation model training.
- Expertise in data-centric AI topics (active learning, pre-training) and their application in autonomous systems.
- You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Robotics , and have some familiarity with the state of the art in ML for autonomous driving and data utilization.

## Compensation

Base pay range: $193,930 - $352,290. Eligible for annual performance bonus, equity, and competitive benefits package.

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