• Design, develop, and maintain scalable platform services, UI, APIs, and shared application capabilities • Build modern, performant user experiences using React and Next.js • Develop and optimize backend services using Go and PostgreSQL • Design and implement GraphQL APIs and supporting data models • Collaborate with product, design, and engineering teams to deliver secure, scalable, API-driven applications • Contribute to platform architecture, technical design, and engineering standards • Troubleshoot application issues, identify performance bottlenecks, and implement sustainable solutions • Improve developer experience through tooling, automation, and engineering best practices • Participate in code reviews, technical planning, and architectural discussions • Mentor engineers and promote high standards for code quality, testing, and maintainability • Leverage AI-assisted development tools and agentic workflows to accelerate debugging, validation, automation, and delivery • Stay current with emerging technologies, frameworks, and modern software engineering practices

• You will design and build the control plane that provisions, scales, and heals Postgres clusters with minimal customer-visible downtime. • You will build and maintain high availability, disaster recovery, and data protection solutions that keep customer databases safe through infrastructure failures. • You will tune Postgres to operate at scale for some of the largest and most demanding workloads in the world. • You will build tooling and automation for database operations, backup, restore, and migration workflows - and participate in an on-call rotation. • You will work directly with customers to understand their workloads and translate real-world needs into platform improvements.

• Architecting and shipping code for key roadmap initiatives. • Building and fostering relationships with engineers on your team and partners in Product, Design, and Analytics to refine and execute the product vision. • Improving the reliability and accuracy of our core data and booking attribution systems. • Mentoring engineers through code reviews, design discussions, and 1:1 pairing. • Working with cutting edge GenAI tools and technology, with an eye towards future goals like AI-generated insights and custom-queried dashboards.

• Play a key role in optimizing system software for Nvidia automotive performance platforms with Safe RTOS. • Collaborate closely with Hardware Architecture, DriveOS, Power, and Test teams to track key boot & runtime performance benchmarks. • Ensure the software and hardware meet projected targets by closely supervising micro benchmarks and industry-standard benchmarks across IPs. • Contribute to developing innovative features in automotive profiling tools with AI assistance. • Benchmark the hypervisor and ensure the lowest overhead on ARM systems. • Collaborate with the ADAS/AV team in optimizing the next-gen stack from NVIDIA on Tegra platforms.