Principal Autonomous Manufacturing Systems Engineer Verified today
About the role
Blue Origin Operations seeks a Principal Autonomous Manufacturing Systems Engineer to join the Manufacturing Automation team in Cupertaker. This role blends software development expertise with real-world industrial automation, embedding machine learning into next-generation manufacturing systems that support human spaceflight.
What you'll do
- Develop and implement strategies for seamless deployment of machine learning models into automation products
- Build and maintain infrastructure for efficient data processing, model training, and inference at scale
- Set up monitoring systems to ensure performance, reliability, and scalability of AI/ML models in production
- Automate the end-to-end machine learning pipeline: data collection, preprocessing, model training, deployment, and monitoring
- Work with data scientists, data engineers, and software engineers to streamline development-to-production workflows
- Ensure AI/ML systems comply with security standards, data privacy, and protection best practices
- Conduct performance tuning, troubleshooting, and optimization to improve efficiency and reduce latency
- Evaluate, select, and integrate appropriate tools and frameworks (MLflow, Kubeflow, TensorFlow Extended)
- Maintain comprehensive documentation of processes, configurations, and performance metrics
- Develop incident response plans to address and mitigate model issues promptly
- Plan and implement scaling strategies for AI/ML models handling increased demand and larger datasets
- Propose new solutions leveraging AI/ML to address business challenges and improve operational efficiency
- Work with cross-functional teams to incorporate AI/ML insights into business strategies
Required qualifications
- 10+ years professional software development experience with focus on real-world machine learning deployments using vision and/or time-series data
- Bachelor's degree or higher in Computer Science, Software Engineering, Mechanical Engineering, or related field
- Extensive experience with AI and machine learning tools and frameworks such as TensorFlow, 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)
- U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum
Preferred qualifications
- Experience with serverless computing frameworks and technologies
- Familiarity with software development in agile and scrum environments
- Experience with database management systems, both SQL and NoSQL (PostgreSQL, MongoDB)
- Strong analytical and problem-solving skills with attention to detail
- Excellent written and verbal communication skills for documentation and cross-team collaboration
- Ability to innovate and adapt to rapidly changing technologies and environments
Compensation and benefits
Base pay range for CA applicants: $230,773.00 - $323,081.85 (other site ranges may differ)
- Medical, dental, vision, basic and supplemental life insurance
- Paid parental leave, short and long-term disability
- 401(k) with company match up to 5%
- Education Support Program
- Stock options for all regular employees (20+ hours/week)
- Paid time off: up to 4 weeks per year and up to 14 company-paid holidays
- Bonuses and additional benefits may apply based on role and level
What we require
Background check required for all positions. Additional DBIDS background check may be required if role involves access to military installations.