> Markdown version of [/jobs/ext/230334-engineer-manager-ml-data-and-evaluation-self-driving-systems](https://www.wearedevelopers.com/jobs/ext/230334-engineer-manager-ml-data-and-evaluation-self-driving-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Engineer Manager - ML Data and Evaluation, Self-Driving Systems

- **Company:** Applied Intuition
- **Location:** Sunnyvale, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $255,700.0 - $346,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Encodings, Data Systems, Distributed Systems, Python (Programming Language), Regression Testing, Software Engineering, Machine Learning Operations, Data Pipelines, Data Selection
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0458bf4227f879ba

## About the Role

Do you have experience in Software engineering?, * 5+ years building ML or data systems for robotics or production software systems.

 * 2+ years managing or technically leading engineering teams.
 * Experience with large-scale data pipelines: ingestion, curation, and processing of large-scale multi-modal sensor data.
 * Experience reasoning about dataset composition, distribution balance, and corpus-level quality - making data decisions that measurably improved model performance.
 * Strong software engineering in Python; comfort with C++ and distributed systems.

## Description

Applied Intuition builds autonomy software deployed on real vehicles across multiple continents - passenger cars, trucks, mining vehicles, and defense platforms. The business is profitable, growing fast, and deeply embedded with OEMs globally.

We are looking for an Engineering Manager to own the data and evaluation layer that powers our E2E autonomy models. This role covers what the industry typically staffs as separate orgs: data enrichment and autolabeling, dataset curation and corpus management, evaluation and metrics infrastructure, and the closed-loop systems that connect on-road performance back to training. Here it's one org under one leader, serving ADAS, L4 trucking, mining, and off-road from a common pipeline.

Model iteration speed is gated by how fast you close the loop. This team owns the pace. You will be hands-on in the technical decisions and close enough to the models to know when something is off.

At Applied Intuition, you will:

 * Own data enrichment: the ML pipelines that produce semantic labels, object annotations, behavior tags, and derived features at petabyte scale across cameras, lidar, and radar. Ensure enrichment quality keeps pace with model requirements as they evolve.
 * Build the curation and corpus management systems: distribution analysis, targeted mining for long-tail scenarios, embedding-based data selection, scenario diversity and geographic balance enforcement.
 * Own evaluation from offboard metrics to on-road driving quality. Define the metrics, benchmarks, and regression tests that determine whether a model ships. Close the sim-to-real gap. Build "eval of eval" tooling to measure and improve the evaluation system itself.
 * Recruit, develop, and technically lead the team. Build a culture of rigor on a safety-critical system.


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down)
- [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage)
- [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)