RunPod is a cloud-based platform designed to facilitate the training, fine-tuning, and deployment of AI models. It provides a globally distributed GPU cloud that enables users to seamlessly deploy their AI workloads while focusing on building machine learning applications. With features like fast pod spinning, autoscaling, and support for multiple machine learning frameworks, RunPod caters to startups, academic institutions, and enterprises alike, offering a powerful and cost-effective solution for machine learning development.
Machine Learning • Artificial Intelligence • Deep Learning
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🔥 Funding within the last year
💰 Seed Round on 2024-05
March 28
🇺🇸 United States – Remote
💵 $131k - $170k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⚙️ Software Development Engineer in Test (SDET)
RunPod is a cloud-based platform designed to facilitate the training, fine-tuning, and deployment of AI models. It provides a globally distributed GPU cloud that enables users to seamlessly deploy their AI workloads while focusing on building machine learning applications. With features like fast pod spinning, autoscaling, and support for multiple machine learning frameworks, RunPod caters to startups, academic institutions, and enterprises alike, offering a powerful and cost-effective solution for machine learning development.
Machine Learning • Artificial Intelligence • Deep Learning
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🔥 Funding within the last year
💰 Seed Round on 2024-05
•RunPod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. •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 include automation-driven quality, resilience testing at scale, performance and load testing, shift-left testing, and data-driven decision-making. •As an SDET in our team, you will be at the forefront of cloud-scale system validation, developing innovative testing frameworks, stress-testing distributed architectures, and ensuring seamless deployments through automation and best practices.
•Expertise in testing cloud-scale distributed systems with a strong focus on reliability, performance, and scalability. •Strong programming skills in at least one language, preferably Python, Golang, or Typescript. •Hands-on experience in building test automation frameworks for complex microservices architectures. •Deep understanding of CI/CD pipelines, infrastructure as code (IaC), and automated deployment strategies. •Extensive experience with load testing tools (e.g., Locust, k6, JMeter) and observability platforms (e.g., Prometheus, Grafana, OpenTelemetry, Datadog). •Proven experience in testing containerized applications and Kubernetes-based environments. •Strong expertise in chaos engineering and fault injection frameworks (e.g., Chaos Mesh, Gremlin, LitmusChaos). •Knowledge of distributed tracing and debugging in cloud-native environments.
•The competitive base pay for this position ranges from $131,000 - $170,000. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills and experience •Stock options •The flexibility of remote work with an inclusive, collaborative team. •An opportunity to grow with a company that values innovation and user-centric design. •Generous vacation policy to ensure work-life harmony and well-being. •Contribute to a company with a global impact based in the US, Canada, and Europe.
Apply NowMarch 28
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