• Front-end development

• Build cloud native services on AWS using the right mix of serverless, containerized, and event driven patterns • Work across Go or Python depending on what best serves the platform and the problem • Design and implement small LLM powered features using AWS Bedrock in a safe, controlled, user initiated manner • Strengthen reliability and observability across distributed systems through logging, metrics, tracing, and actionable dashboards • Apply modern AWS service patterns to improve scale, reduce cost, and accelerate development • Contribute to internal best practices for integrating deterministic logic with AI assisted workflows • Help the team adopt efficient cloud first patterns and improve the way we build and operate services on AWS • Make the whole team better by advocating for best practices, gently reminding people of why the processes we have exist, and helping less experienced engineers find ways to ‘level up’

• Architect, design, and deliver ultra-reliable, high-performance services and infrastructure used by millions • Uncover and resolve performance bottlenecks across infrastructure, databases, and APIs • Define and enable adherence to engineering best practices, coding standards, and architectural guidelines • Collaborate closely with the Product team to influence features, technical direction, and long-term product vision • Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

• Design and develop scalable, cloud solutions to accelerate HPC and AI workloads using NVIDIA’s advanced technologies (GPUs, DPUs, ConnectX). • Contribute to NVIDIA’s AI supercomputing platforms. • Collaborate with cross-functional teams to deliver new features and improve existing products. • Design and develop robust software systems.