Senior Principal Software Engineer, Factory Automation AI

Senior Principal Software Engineer, Factory Automation AI page is loaded## Senior Principal Software Engineer, Factory Automation AI locations:
Seattle, WA:
Space Coast, FL:
Huntsville, ALtime type:
Full time posted on:
Posted Yesterday job requisition : R55314

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance.

This includes Manufacturing and Supply Chain support across all Blue Origin facilities.

This role is part of Blue Origin Factory Automation Team within the Operations Automation, Tooling and Maintenance  are a world leading Manufacturing Automation organization that is revolutionizing manufacturing at Blue Origin. By blending proven and cutting edge manufacturing technologies with a relentless drive to develop, deploy and support high quality systems, we are enabling Blue Origin to realize our vision of millions of people living and working in space for the benefit of Earth.

Our team is looking for outstanding, highly motivated Software Engineers (AI/ML Ops) to join our Automation Team. This role requires an individual with a deep understanding of software development as well as automated manufacturing processes and systems, including industrial automation hardware and software. AI will unlock the true potential of manufacturing automation, you will join our team of automation development engineers, working directly with them to embed value-add AI in systems we create.

We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!##
** Responsibilities include but are not limited to:
*** Work directly with the automation engineering team to develop and implement strategies for seamless deployment of machine learning models into our automation products.
* Complete the operational aspects of AI and machine learning projects, ensuring robust and scalable deployment.
* Build and maintain the infrastructure required for efficient data processing, model training, and inference at scale.
* Set up and manage monitoring systems to ensure the performance, reliability, and scalability of AI/ML models in production.
* Automate the end-to-end machine learning pipeline, including data collection, preprocessing, model training, deployment, and monitoring.
* Work closely with data scientists, data engineers, and software engineers to streamline the workflow from development to production.
* Ensure that AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns.
* Conduct performance tuning, troubleshooting, and optimization of AI and ML models to improve efficiency and reduce latency.
* Evaluate, select, and integrate appropriate tools and frameworks for model training, deployment, and monitoring (e.g., MLflow, Kubeflow, Tensor Flow Extended).
* Maintain comprehensive documentation of processes, configurations, and performance metrics of deployed AI/ML models.
* Foster a culture of continual improvement by staying updated with the latest advancements in AI/ML Ops and implementing best practices.
* Develop and implement incident response plans to address and mitigate issues with deployed models promptly.
* Plan and implement strategies for scaling AI/ML models to handle increased demand and larger datasets.
* Proactively propose new solutions and enhancements leveraging AI/ML to address business challenges and improve operational efficiency.
* Work with cross-functional teams to incorporate AI/ML insights into broader business strategies and processes.##
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* Preferred Qualifications:

*** Bachelor’s or higher in Computer Science, Software Engineering, Mechanical Engineering or a related field.
* 15+ years of professional software development experience, with a significant focus on real world machine learning deployments using vision and/or time-series data.
* Extensive experience with AI and machine learning tools and frameworks, such as Tensor Flow, PyTorch, or similar.
* Familiarity with manufacturing automation, including robotics, PLC's, automated NDT, and machine vision.
* Experience with AI edge deployments and integration into OT devices (e.g. Simatic NPU).
* Experience with serverless computing frameworks and technologies.
* Familiarity with software development in agile and scrum environments.
* Experience with database management systems, both SQL and No

SQL (e.g., Postgre

SQL, Mongo

DB).
* Strong analytical and problem-solving…