> Markdown version of [/jobs/ext/2599414-software-engineer-metrics-ai-evaluation](https://www.wearedevelopers.com/jobs/ext/2599414-software-engineer-metrics-ai-evaluation). 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).

---

# Software Engineer, Metrics, AI Evaluation

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Salary:** $140,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Data Integrity, Python (Programming Language), NumPy, Data Processing, Pandas, Information Technology, Real Time Data
- **Published:** August 1, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/80886049/1

## About the Role

* Bachelor's Degree in Computer Science, Physics or Robotics Engineering, or equivalent experience, or proof of exceptional skills in related field
 * Strong Python coding abilities
 * Exposure to utilizing NumPy and Pandas for data manipulation
 * Experience with computer vision systems, ADAS features, path-planning, real-time embedded systems, sensor calibration, C++ and/or CAN is a plus

## Description

The AI Evaluation team is the main line of defense in ensuring product safety. Working alongside our AI team, you will design metrics for open and closed loop simulation testing on telemetry collected from the fleet. These results help drive key decisions about end-to-end model architecture, data integrity, and exported model performance. Your work will directly impact L4 Unsupervised robotaxi operation, FSD v14+ customer satisfaction, and Optimus success. A strong candidate will have a computer science, ML or robotics engineering background, strong attention to detail, self-driven attitude, and passion to make an impact.
What You'll Do

 * Design metrics to evaluate model predictions and vehicle motion across every scenario human drivers will ever encounter
 * Create vector space visualizations to help analyze real-time data values for model prediction and perception
 * Work with AI researchers to evaluate & compare end-to-end FSD models
 * Drive projects from inception to completion and present projects to org leadership


## Related Videos

- [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance)
- [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast)
- [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript)
- [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)
- [Startup Presentation: StorX - Future of Cloud Storage](https://www.wearedevelopers.com/videos/1176-startup-presentation-storx-future-of-cloud-storage)
- [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk)

## Related Articles

- [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)