Software Engineer - Storage & Observability (Early Career)

Experience:

1–3 years of professional experience in Software Engineering or Cloud Operations with hyper scalers

Cloud & Containers:

Solid understanding of Docker and Kubernetes orchestration, as well as experience with cloud platforms like AWS, GCP, or Azure

Tooling:

Familiarity with infrastructure-as-code (Terraform or Helm) and version control (Git)

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $165,000 - $200,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Together AI is building the

AI Acceleration Cloud

, an end-to-end platform for the full generative AI lifecycle. Our AI Infrastructure team is at the forefront of scaling the foundational systems that power this platform. We are looking for an Early Career Software Engineer to join our

Storage and Observability team

, where you will help design and maintain robust distributed storage solutions and develop comprehensive observability platforms.

In this role, you will work on the systems that provide critical insights into GPU utilization and system performance, ensuring seamless data access for the world's largest AI training and inference workloads.

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.