> Markdown version of [/jobs/ext/4629008-ml-software-engineer-online-maps](https://www.wearedevelopers.com/jobs/ext/4629008-ml-software-engineer-online-maps). 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).

---

# ML Software Engineer, Online Maps

- **Company:** Jobright Inc.
- **Location:** Mountain View, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Software Engineering, Verification and Validation (Software), Pytorch, Deep Learning, Production Code
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_05aa8cc9389ba82cc9c4242bcf0cab74

## About the Role

Python C++ Deep Learning Computer Vision Machine Learning PyTorch TensorFlow Open Source Contributions Robotics Experience Research Publications

Required

Excellent software engineering skills in Python and/or C++

Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow

Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record)

Preferred

Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or robotics projects)

Contributions to open source project(s)

Strong track record in any field related to machine learning, as evidenced by top-tier publications

Examples of relevant fields and conferences: computer vision (e.g., CVPR, ECCV, ICCV, IJCV), machine learning (e.g., ICML, NeurIPS, JMLR, PAMI), robotics (e.g., RSS, IJRR), graphics (e.g., SIGGRAPH, TOG)

Self-driving freight trucking technology.

## Description

Lead and Collaborate with other members of the Online Maps autonomy team to improve/ideate and implement perception algorithms that power the Aurora Driver

Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios

Develop novel verification and validation technologies and techniques

Partner with engineers from online maps, simulation, and safety to ensure that online mapping technology is ready for operation with no vehicle operator

Build infrastructure and tests that support critical go/no go decisions for deploying the Aurora Driver

Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver