The QA Associate will perform manual and automated testing of web apps and backend services, ensuring high reliability and performance of systems.

Develop and optimize GPU algorithms and libraries to improve AI model inference, collaborating directly with the technical team, and investigating new architectures.

Seeking a systems engineer with HPC or parallel programming experience to optimize GPU performance for AI inference at Vast.ai.

As a Systems Software Engineer at Vast.ai, you will enhance critical system performance, reliability, and infrastructure, focusing on containerization and security.

The role involves developing GPU kernels and algorithms for AI model inference, enhancing performance, and staying up-to-date with AI advancements.

The Data Engineer will build and maintain the data pipeline, manage data quality, and enable self-serve analytics for various departments. Responsibilities include designing schemas, ingesting data, and collaborating with stakeholders to create and scale the data platform.

The Senior Infrastructure Engineer will design, scale, and optimize core systems for Vast.ai's GPU marketplace, focusing on backend infrastructure, workload scheduling, and resource management.

The QA Engineer will perform manual and automated testing on web applications and backend services, ensuring software quality, stability, and performance.