Datacenter Robotics Engineer, Datacenter Robotic Products & Services

What you'll do

• Own ML across perception, model fine-tuning, evaluation, and production pipelines.
• Collaborate with robotics and software engineers to integrate model outputs and use field data to improve training and models.
• Travel approximately 30% to AWS offices, data centers, suppliers, vendors, and product validation tests; some international travel may be required.

What they ask for

• Bachelor's degree or above in computer science, machine learning, engineering, or related fields.
• 4+ years of professional software engineering experience, including shipping ML to production.
• Strong software engineering and debugging skills, fluency in Python, and hands-on ownership across the full ML stack.
• Hands-on experience with the AWS ML stack or equivalent, and computer vision/perception on real-world sensor data.

Nice to have

• Experience as the sole or lead ML engineer on a team of otherwise non-ML engineers.
• Familiarity with robotics data and tooling (ROS 2, MCAP, sensor fusion), edge deployment, or fine-tuning and evaluating open models/LLMs.

Pay

116,800.00 - 160,000.00 USD annually (base salary)

Tools

Python, Amazon SageMaker AI, Amazon Bedrock, S3, EC2, ROS 2, MCAP, LLMs

AI focus

Develop and deploy ML for robot-collected imagery, LiDAR, thermal streams, and other sensor data, including perception, model fine-tuning, evaluation, and production pipelines.