AI
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.
We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.
Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.
We are seeking a highly skilled and experienced Software Development Engineer in Test (SDET) to join our team. This role is pivotal in ensuring the reliability, scalability, and performance of our large-scale distributed systems. The ideal candidate will have a deep understanding of cloud-native architectures, automation-first testing strategies, and expertise in validating complex, high-performance infrastructure. Key Aspects of Our Testing Approach:
- Automation-Driven Quality: We prioritize automated testing strategies to validate system performance, scalability, and reliability, reducing manual effort and increasing test coverage.
- Resilience Testing at Scale: Our SDETs proactively design tests to assess fault tolerance, high availability, and self-healing capabilities ac