GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
November 15
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
• 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.
• equity • benefits
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