Sr. Autonomous Manufacturing Systems Engineer
About The Position
Blue Origin’s Operations organization supports manufacturing and supply chain across all Blue Origin facilities. The role is part of a Manufacturing Automation organization that combines established and emerging manufacturing technologies to develop, deploy, and support high-quality systems. The position works with automation development engineers to embed useful AI capabilities in automation systems, applying software development expertise alongside an understanding of automated manufacturing processes and systems, including industrial automation hardware and software. The work supports Blue Origin’s mission of safe, reusable, low-cost spaceflight and its vision of enabling people to live and work in space for the benefit of Earth. The posting describes the work as a senior AI/ML Ops software engineering role. The engineer will help move machine-learning solutions into production automation products, operate and scale the associated systems, and collaborate with data scientists, data engineers, software engineers, and automation engineers. The role includes ownership of production reliability, security, monitoring, incident response, and continual improvement.
Requirements
- 5+ years of professional software development experience, focused on real-world machine-learning deployments using vision and/or time-series data.
- Hands-on experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, or similar.
- Strong analytical and problem-solving skills with attention to detail.
- Strong written and verbal communication skills for documentation and cross-team collaboration.
- Ability to innovate and adapt to rapidly changing technologies and environments.
- Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion.
- 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.
Nice To Haves
- Bachelor's degree or higher in Computer Science, Software Engineering, Mechanical Engineering, or a related field.
- Familiarity with manufacturing automation, including robotics, PLCs, automated NDT, and machine vision.
- Experience with AI edge deployments and integration into OT devices, such as Simatic NPU.
- Experience with serverless computing frameworks and technologies.
- Experience working in agile and scrum environments.
- Experience with SQL and NoSQL database systems, such as PostgreSQL and MongoDB.
Responsibilities
- Partner with the automation engineering team to design and implement approaches for deploying machine-learning models into automation products.
- Own the operational aspects of AI/ML projects and ensure robust, scalable deployment.
- Build and maintain infrastructure for efficient data processing, model training, and inference at scale.
- Implement and manage monitoring systems for production AI/ML model performance, reliability, and scalability.
- 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 transition from development to production.
- Ensure AI/ML systems comply with security standards and best practices, including data privacy and protection.
- Tune performance, troubleshoot, and optimize AI/ML models to improve efficiency and reduce latency.
- Evaluate, select, and integrate model training, deployment, and monitoring tools and frameworks, such as MLflow, Kubeflow, and TensorFlow Extended.
- Document processes, configurations, and performance metrics for deployed models.
- Stay current with AI/ML Ops advancements and apply best practices to promote continual improvement.
- Develop and execute incident response plans for issues with deployed models.
- Implement strategies to scale AI/ML models for increased demand and larger datasets.
- Propose and prototype AI/ML solutions to address business challenges and improve operational efficiency.
- Mentor junior engineers and work with cross-functional teams to incorporate AI/ML insights into broader processes.
Benefits
- Medical, dental, and vision insurance.
- Basic and supplemental life insurance.
- Paid parental leave.
- Short- and long-term disability coverage.
- 401(k) with company match of up to 5%.
- Education Support Program.
- Stock options for all regular employees working at least 20 hours per week.
- Up to four weeks of paid time off per year based on weekly scheduled hours.
- Up to 14 company-paid holidays.
- Depending on role type and job level, employees may be eligible for benefits and bonuses based on individual contributions or other factors; amounts and eligibility are not guaranteed.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
