Blue Origin · 8 hours ago
Senior Principal Software Engineer, Factory Automation AI
Greater Seattle Area
Full-time
Onsite
Senior Level, Lead/Staff
$264K/yr - $370K/yr
15+ years expBlue Origin is a company focused on developing reusable, safe, and low-cost space vehicles and systems. They are seeking a Senior Principal Software Engineer to join their Automation Team, where the role involves developing and implementing AI and machine learning strategies for manufacturing automation.
AerospaceManufacturingNational SecurityRenewable Energy
No H1B
U.S. Citizen Only
Responsibilities
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, TensorFlow 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
Qualification
Required
Deep understanding of software development as well as automated manufacturing processes and systems, including industrial automation hardware and software
Passion for our mission and vision
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, TensorFlow 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
Must be a 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
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 TensorFlow, 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 NoSQL (e.g., PostgreSQL, MongoDB)
Strong analytical and problem-solving skills with attention to detail
Excellent written and verbal communication skills for clear documentation and cross-team collaboration
Ability to innovate and adapt to rapidly changing technologies and environment
Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion
Benefits
Medical
Dental
Vision
Basic and supplemental life insurance
Paid parental leave
Short and long-term disability
401(k) with a company match of up to 5%
Education Support Program
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
Company
Blue Origin
Blue Origin is an aerospace company that focuses on lowering the cost of spaceflight and helping to explore the solar system.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$185.35MKey Investors
NASAUnited States Space Force
2024-02-20Secondary Market
2024-01-24Undisclosed· $18M
2021-12-03Grant· $130M
Leadership Team
David Limp
Chief Executive Officer
Tim Collins
Vice President, Global Supply Chain
Recent News
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2026-01-11
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2026-01-11
Company data provided by crunchbase