AI Engineer - Automation/Robotics

Responsibilities

• Fine-tune, enhance, and maintain software implementations supporting robotic AI and machine-learning research.
• Architect, design, and implement test automation infrastructure for robotics and AI systems.
• Develop training and evaluation pipelines using Azure Machine Learning.
• Analyze, curate, refine, and transform datasets for robotic and AI applications.
• Build tools and infrastructure for deploying and evaluating algorithms in simulation and on physical hardware.
• Integrate robotic control and perception stacks with simulation frameworks and robotic platforms.
• Integrate new simulation environments and robotic hardware by adapting software to new APIs.
• Collect, process, and convert robotic demonstrations for model training.
• Launch and manage model fine-tuning and evaluation workflows.
• Troubleshoot and resolve issues across new and legacy production systems.
• Perform unit testing and support software reliability and maintainability.
• Collaborate in an agile research environment and create technical documentation.

Requirements

• Master’s degree in Computer Science, Computer Engineering, Robotics, or a related technical field.
• 5–7 years of related professional experience.
• Strong foundation in computer science, including data structures, algorithms, and software design.
• Professional programming experience and strong problem-diagnosis and resolution skills.
• Experience with robotic hardware and/or simulation environments.
• Experience with troubleshooting and unit testing across new and legacy production systems.
• Experience with machine-learning frameworks such as PyTorch or TensorFlow.
• Ability to develop, debug, and maintain complex software systems.
• Experience with machine-learning models, training workflows, or AI development pipelines.
• Preferred experience training or fine-tuning robotic learning models, especially Vision-Language-Action models.
• Preferred experience with diffusion models, reinforcement-learning policies, robotic platforms, robotic perception and control systems, simulation-to-hardware workflows, and ML deployment pipelines.
• Preferred experience with Azure Machine Learning, robotic demonstration datasets, automated testing infrastructure, robotics or simulation APIs, and robotic foundation models.

Benefits

• Medical, dental, and vision coverage may be available to eligible employees.
• Flexible Spending Account (FSA) may be available to eligible employees.
• 401(k) retirement plan may be available to eligible employees.
• Competitive paid time off and parental leave may be available.
• Professional growth and development opportunities may be available.
• Onsite work in Redmond, Washington; benefits and eligibility vary by role, employment status, and location.