> Markdown version of [/jobs/ext/2649475-applications-dev-test-ai-engineer-automation-robotics-3](https://www.wearedevelopers.com/jobs/ext/2649475-applications-dev-test-ai-engineer-automation-robotics-3). 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).

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# Applications Dev & Test - AI Engineer - Automation/Robotics 3

- **Company:** BCforward
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Salary:** $228,800.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Automation of Tests, Unit Testing, Computer Engineering, Data Structures, Hardware Design, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Software Engineering, Product Software Implementation Methods, Pytorch, Information Technology, Legacy Systems
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/702b74f9-0d39-43f1-b224-c1ab4f793f0a

## About the Role

We are seeking an AI Engineer focused on Embodied AI and Robotics to join our team working to advance robotic learning and foundation models. The ideal candidate will have strong experience in machine learning, robotics simulation and hardware integration, and a proven ability to build, test, and deploy production-grade AI systems., * Master's degree in Computer Science, Computer Engineering, or a related field.

 * 5-7 years of related experience.
 * Strong foundation in data structures, algorithms, and software design.
 * Experience with robotics simulation environments and/or robotic hardware.
 * Proficiency in Python and unit testing for new and legacy systems.
 * Experience in troubleshooting, problem diagnosis, and resolution.
 * Background with machine learning frameworks such as TensorFlow or PyTorch.

Preferred Skills:

 * PhD-level research or studies in a robotics lab.
 * Experience with Azure Machine Learning operations at scale.

## Description

* Fine-tune and improve sophisticated software implementation projects.
 * Architect, design, and implement test automation infrastructure.
 * Develop training and evaluation pipelines using Azure Machine Learning.
 * Analyze and refine training datasets for robotic and AI applications.
 * Develop tools for rapid deployment of novel algorithms in simulation and on hardware.
 * Integrate robotic control and perception stacks with simulation frameworks.


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