
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
💰 $20M Seed on 2024-06
Artificial Intelligence • SaaS • B2B
Runpod is a cloud platform that provides on-demand GPU compute and managed infrastructure tailored for AI development and deployment. It offers GPU "Pods" across 31 global regions, serverless GPU endpoints for low-latency inference, multi-node GPU clusters for distributed training, and a hub for deploying open-source models and templates. Runpod emphasizes fast startup (sub-200ms cold starts), autoscaling from zero to thousands of workers, support for 30+ GPU SKUs, and tooling for the full AI lifecycle from experiment to production, targeting developers and enterprise AI teams.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $175k - $200k / year
⏰ Full Time
🟠 Senior
⚙️ Software Development Engineer in Test (SDET)
👻 Ghost score 9%
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51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
💰 $20M Seed on 2024-06
Artificial Intelligence • SaaS • B2B
Runpod is a cloud platform that provides on-demand GPU compute and managed infrastructure tailored for AI development and deployment. It offers GPU "Pods" across 31 global regions, serverless GPU endpoints for low-latency inference, multi-node GPU clusters for distributed training, and a hub for deploying open-source models and templates. Runpod emphasizes fast startup (sub-200ms cold starts), autoscaling from zero to thousands of workers, support for 30+ GPU SKUs, and tooling for the full AI lifecycle from experiment to production, targeting developers and enterprise AI teams.
• Design, develop, and maintain test automation frameworks for cloud-scale distributed systems • Architect performance, load, and stress tests to validate resilience under high traffic • Build fault-injection and chaos-engineering strategies to assess distributed-service reliability • Develop and execute end-to-end integration, API, and system-level tests across microservices architectures • Implement continuous-testing pipelines within CI/CD workflows • Collaborate with development, SRE, and infrastructure teams to embed quality practices in the SDLC • Analyze logs, telemetry, and observability metrics to identify and mitigate failures before production impact • Automate security testing, API contract validation, and infrastructure testing • Participate in on-call rotations for critical production reliability and performance issues • Shape Runpod’s QA testing strategy, automation frameworks, and quality standards across GPU Pods, Serverless endpoints, batch jobs, Instant Clusters, storage, and billing systems
• 10+ years of experience in QA Automation, SDET, Software Engineering, or a related technical field • Expertise testing cloud-scale distributed systems for reliability, performance, and scalability • Strong programming skills in at least one language, preferably Python, Golang, or TypeScript • Experience building test automation frameworks for complex microservices architectures • Deep understanding of CI/CD pipelines, infrastructure as code (IaC), and automated deployment strategies • Experience with load testing tools such as Locust, k6, or JMeter • Experience with observability platforms such as Prometheus, Grafana, OpenTelemetry, or Datadog • Experience testing containerized applications and Kubernetes environments • Expertise in chaos engineering and fault-injection frameworks such as Chaos Mesh, Gremlin, or LitmusChaos • Knowledge of distributed tracing and debugging in cloud-native environments • Experience with message queues, databases, and event-driven architectures such as Kafka, RabbitMQ, or Redis • Successful completion of a background check • Eligible to work in the United States; Runpod is currently unable to sponsor employment visas
• Meaningful equity; everyone on the team receives stock options • Generous medical, dental & vision plans • Flexible PTO • Remote-first work environment • $1,200 Home Office & Equipment Stipend • Learning, culture, and ownership-focused team environment
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