• Design, build, and ship high-quality software components using object-oriented and component-based patterns, with an emphasis on reuse, test-driven development, and automation • Build new features and enhancements for existing products, from intermediate to highly complex in scope • Write, test, and deploy React front ends and Node.js/TypeScript back ends, along with the serverless infrastructure that supports them • Work with our Architects to translate business and customer requirements into detailed technical designs and component specifications • Deliver software with minimal defects; identify, troubleshoot, and resolve issues quickly • Estimate level of effort and contribute to planning for new features and system changes • Identify technical risks early and work with the team on mitigation plans • Maintain and improve our CI/CD pipelines to keep releases smooth, fast, and reliable • Support and troubleshoot code running on edge devices deployed in the field • Use monitoring, alerting, and dashboards to keep an eye on system health and catch issues before they become problems

• Maintain Performance - Monitor the architecture and identify opportunities to optimize code to maintain and enhance mainframe performance. • Debug and Test - Debug, troubleshoot, and analyze complex system interactions to keep mission-critical applications running. • Develop for the Future - Extract business logic from legacy systems for migration or integration with cloud-based services.

• Build and ship full-stack features across Deepgram’s customer-facing Console and Playground experiences. • Build internal-facing tools and services that improve workflows and productivity across Deepgram. • Design, build, and maintain APIs and backend services that power end-user and internal product experiences. • Partner with product, design, and engineering to create accessible, performant, and responsive interfaces backed by reliable systems. • Translate product ideas and requirements into well-scoped, incrementally releasable work across frontend and backend layers. • Balance rapid iteration with long-term maintainability, quality, scalability, and performance. • Help raise the bar through code reviews, technical design discussions, and strong engineering practices across the stack.

• Contribute to the technical direction of the Perception Architecture team and the broader perception organization. • Design and develop core machine learning components and architectures that enable the perception system to scale and reliably address complex, long-tail driving scenarios. • Drive the initial implementation and prototyping of key architectural decisions, such as handling long tail challenges or long range detection. • Contribute to the improvement of model frameworks, architecture, and data pipelines to eliminate development bottlenecks and accelerate model iteration. • Lead challenging technical topics and build consensus across sister teams (e.g., Actor Detection, Scene Understanding, Tracking) and stakeholders to ensure autonomy-wide alignment.