Engines AI Program Execution & Design Implementation Lead

Blue Origin•Seattle, WA

40d

About The Position

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 the Blue Origin Engines business unit, where our focus is the design, development, manufacturing, and testing of engines and propulsion systems. Built for multiple uses, our family of engines is powering the next generation of rockets for commercial, civil, national security, and human spaceflight. This key role is part of the Blue Origin Engines business unit where our focus is the design, development, manufacturing, testing and flight support of cost-optimized engines and propulsion systems. In this role you will be a major influencer in defining how the Engines BU program operating systems are enabled using Artificial Intelligence (AI)/Machine Learning (ML) technologies, thereby directly impacting how the Engines Business Unit operates - and in doing so you will directly impact the history of space exploration. As the BU leader for AI-enabled program execution, you will be evangelizing advanced tools, processes and methods to a dedicated team of highly specialized & experienced engineers, program and business leaders. You will hold a critical role in understanding the spectrum of tools/ capabilities available within Blue, and leading tool selection, process/tool usage alignment, piloting and deployment of AI tools & AI-enabled workflow tasks to drive improved program execution, including engine design & development processes. Where appropriate, you will manage discrete tool/ process deployment projects, ensuring scrappy execution while maintaining a tight grip on all project deliverables needed to meet BU & program objectives. Identifying and mitigating AI technology & tool deployment risks are critical tasks, and you'll need to effectively communicate these to both program & business leadership when the appropriate solutions are beyond your immediate control. This critical role oversees the application and execution of specialty AI-aligned tools & workflows to the Engine program teams and their products. This entails developing a robust understanding of tool capability & use cases to ensure program execution and product design & development processes yield products that meets negotiated customer requirements and adheres to internal design criteria, including producibility, product cost, life cycle cost and other key product attributes squarely aligned to lowering the cost of access to space. You'll be accountable for guiding AI tool application to complex interdisciplinary engineering tasks and execution within the AI-enable environment that leads to overall system development & qualification success.

Requirements

Extreme passion for using AI/ML as an enabler in a complex product development environment.
Minimum of a B.S. degree in Engineering or STEM/technical field
8+ years of experience in a relevant engineering field, with significant experience in design & development of rocket propulsion systems, including knowledge across relevant engineering disciplines, including requirements, design, analysis, manufacturing, testing and vehicle integration.
Solid understanding of leading-edge AI, statistical and machine learning (ML) techniques; experience with supervised, unsupervised, generative, semi-supervised, self-supervised modeling approaches.
Familiarity with industry-leading tools in both the AI/ML & rocket engine design/development domains: GPT, LLM, ANSYS, aPriori, Jules, Windchill/Creo.
Proven track record of leading and managing teams to deliver complex rocket engine system/ component designs.
Demonstrated ability to lead change and drive continuous improvement.

Nice To Haves

Masters or PhD in CS, Physics, Math, Engineering, or other STEM fields.
Ability to deploy solutions using tools such as GitLab, AWS, Docker, Kubernetes, and familiarity with visualization tools like Plotly/Dash, Javascript/D3/Go.js, and Streamlit. Comfortable working with both structured and unstructured data; experience with SQL, REST APIs, and custom scripting.
Experience with Agile, IMP-level scheduling, risk management, configuration management, requirements management processes.
Hands-on experience with the development lifecycle of propulsion components and systems.

Responsibilities

Own the AI/ML strategy for Engines program execution, including engine design optimization.
Collaborate with program leaders to understand current business problems & explain how AI/ML-aligned tools provide appropriate technical solutions.
Understand the depth & breadth of technologies available to Blue Engines, advocate targeted AI/ML adoption & work with BU/program/ESE&I SME stakeholders to ensure these technologies are developed/matured based on transparent stack-ranked program-aligned value criteria.
Partner with stakeholders to deliver established methods/workflows & mentor engineers in appropriate AI/ML usage to realize the benefits of these methods/workflows.
Partner across Blue Origin BUs & supporting Functions to share use cases showcasing the benefits of AI/ML adoption. Actively share learnings and best practices across Blue.
Maintain a very high level of familiarity with AI technologies/ best practices applicable to Blue Engines. This includes AI industry engagement and attending seminars/ conferences as appropriate to maintain leading-edge knowledge aligned to the Engines business.
Research, identify, assess, and validate emerging technologies to continuously increase the team's ML and AI capabilities.
Where appropriate, write code that supports implementation of NLP & LLM models and algorithms. Develop best practices to ensure high quality, scalability, and reliability - and mentor Engines personnel in these established best practices.
Work within the Engines Agile environment to deliver fast-paced solutions that meet the needs of the business.
Maintain appropriate metrics on AI/ML adoption/usage within the Engines BU.
Travel as appropriate 1-2 times per quarter to Blue sites, conference, seminars.

Benefits

Benefits include: 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%, and an 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.
Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

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