Sr. Autonomous Manufacturing Systems Engineer

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.

We are a world-leading Manufacturing Automation organization 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 an outstanding, highly motivated Senior Software Engineer (AI/ML Ops) to join our Automation Team. This role requires a solid 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 work directly with our automation development engineers to embed value-add AI in the systems we create.

We are looking for someone to apply their technical expertise, ownership, 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:

Partner with the automation engineering team to design and implement approaches for deploying machine learning models into our automation products.

Own the operational aspects of AI/ML projects, ensuring robust and scalable deployment.

Build and maintain the infrastructure for efficient data processing, model training, and inference lement and manage monitoring systems to ensure the performance, reliability, and scalability of production AI/ML models.

Automate the end-to-end ML pipeline, including data collection, preprocessing, model training, deployment, and monitoring.

Collaborate with data scientists, data engineers, and software engineers to streamline the path from development to production.

Ensure AI/ML systems comply with security standards and best practices, including data privacy and protection.

Perform performance tuning, troubleshooting, and optimization of AI/ML models to improve efficiency and reduce latency.

Evaluate, select, and integrate tools and frameworks for model training, deployment, and monitoring (e.g., MLflow, Kubeflow, Tensor Flow Extended).Maintain documentation of processes, configurations, and performance metrics for deployed models.

Contribute to a culture of continual improvement by staying current with AI/ML Ops advancements and applying best practices.

Develop and execute incident response plans to address issues with deployed models promptly.

Implement strategies for scaling AI/ML models to handle increased demand and larger datasets.

Propose and prototype new AI/ML solutions that address business challenges and improve operational efficiency.

Mentor junior engineers and work with cross-functional teams to incorporate AI/ML insights into broader processes.

Preferred Qualifications:

Bachelor's or higher in Computer Science, Software Engineering, Mechanical Engineering, or a related field.
5+ years of professional software development experience, with a focus on real-world machine learning deployments using vision and/or time-series data.

Hands-on experience with AI/ML tools and frameworks such as Tensor Flow, PyTorch, or similar.

Familiarity with manufacturing automation, including robotics, PLCs, 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.

Experience working in agile and scrum environments.

Experience with SQL and No

SQL database systems (e.g., PostgreSQL, MongoDB).Strong analytical and problem-solving skills with attention to detail.

Strong written and verbal communication skills for clear documentation and cross-team collaboration.

Ability to innovate and adapt to rapidly changing technologies and environments.

Ability to earn trust,…