Software Engineer - GPU Networking & Distributed Systems

About this kind of role

What a Software Engineer - GPU Networking & Distributed Systems usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and tests software solutions for GPU networking and distributed systems, often focusing on performance optimization and scalability. This role involves writing code, debugging, and collaborating with other engineers to build robust and efficient infrastructure. Responsibilities may include developing drivers, libraries, or applications that leverage GPUs for networking tasks or contribute to distributed computing frameworks. A key focus is ensuring reliable communication and data processing across multiple systems.

Tools and skills: Proficiency in programming languages like C/C++, Python, and experience with GPU architectures (CUDA, OpenCL), networking protocols, and distributed systems frameworks (e.g., Kubernetes, Apache Kafka) are generally required.

Good fit for: Individuals with a strong background in computer science, a passion for low-level programming, and an interest in high-performance computing often thrive in this role.