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Guide development and operations of cloud services that enable external developers to easily access the latest AI models, optimizations, and serving techniques
Lead and directly contribute to implementation of key infrastructure features to enable product goals and improve productivity of internal engineers
Mentor engineers to develop their technical skills and ability to make an impact
Collaborate with product and engineering leads on feature roadmaps and execution planning
Promote and support methodologies that improve efficiency, product quality, security, and scalability.
Identify and seize opportunities to build common infrastructure that can be shared across various AI-related services
MS, or PhD in Computer Science, Computer Engineering, or closely related field (or Bachelors with additional equivalent experience).
12+ years of relevant experience as a developer, technical lead, and/or engineering manager
Proven technical skills in architecting, designing, implementing and delivering high-quality cloud services.
Proficiency in one or more programming languages (e.g., Python, TypeScript, Go)
Proficiency in SW development and DevOps best practices (SW development life cycle, developer workflows, continuous integration, infrastructure as code, etc.)
Experience building applications or services that incorporate AI
Excellent interpersonal skills and a collaborative, pragmatic approach to solving problems.
Experience building and operating publicly accessible services that incorporate AI at scale
Strong grasp of the latest trends in AI inference serving and performance optimization
Deep knowledge of GPU infrastructure management and/or CUDA applications
Experience with multiple major cloud platforms (AWS, Azure, GCP, OCI, etc.)
You will also be eligible for equity and .
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