Sr. Principal Artificial Intelligence Infrastructure Engineer (Onsite - Cedar Rapids, IA)
Cedar Rapids, IAAll locationsCedar Rapids, IAUS-IA-CEDAR RAPIDS-124 ~ 400 Collins Rd NE ~ BLDG 124 Hybrid
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About the role
The AI Sandbox team within Applied Research & Technology (ART) is seeking an Artificial Intelligence (AI) Infrastructure Engineer to architect and lead the evolution of our AI infrastructure for AI and GenAI applied research. This role facilitates rapid prototyping that transitions seamlessly into turnkey development environments, manages on-prem and cloud infrastructure, and supports developers working within RTX Digital Technology (DT) frameworks. This role will be worked onsite in Cedar Rapids, IA. Relocation assistance is available.
What you'll bring
- At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems.
- With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can.
- Together, we push the boundaries of known science and find new ways to connect and protect our world.
- Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry.
- With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market.
- Join us and help shape the future of aerospace and defense.
- The AI Sandbox team within Applied Research & Technology (ART) is seeking an Artificial Intelligence (AI) Infrastructure Engineer to architect and lead the evolution of our AI infrastructure for AI and GenAI applied research.
- This role facilitates rapid prototyping that transitions seamlessly into turnkey development environments, manages on-prem and cloud infrastructure, and supports developers working within RTX Digital Technology (DT) frameworks.
- This role will be worked onsite in Cedar Rapids, IA.
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 10 years prior relevant experience or an Advanced Degree in a related field and minimum 7 years of experience.
- Experience administering AI or compute-intensive infrastructure including GPU servers and Kubernetes clusters.
- Experience with Linux, container runtimes, orchestration, and platform configuration.