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Blue Origin · 3 weeks ago

Engines AI Program Execution & Design Implementation Lead

Greater Seattle Area

Full-time

Onsite

Senior Level, Lead/Staff

$141K/yr - $197K/yr

8+ years exp

Blue Origin is working to develop reusable, safe, and low-cost space vehicles and systems. This role involves leading AI-enabled program execution within the Engines business unit, focusing on the design, development, and testing of propulsion systems while advocating for AI/ML technologies to enhance program execution and product design.

AerospaceManufacturingNational SecurityRenewable Energy

No H1B

U.S. Citizen Only

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

Qualification

AI/ML strategyRocket propulsion systemsAI technologiesTeam leadershipAgile methodologyNLP & LLM modelsAI/ML toolsData analysisCommunication skillsProblem-solvingCollaborationMentoring

Required

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

Preferred

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