Senior Software Infrastructure Engineer

This role is part of the Software Infrastructure team, responsible for building and scaling the core development infrastructure that supports the entire software engineering organization. You will work on designing, improving, and maintaining tools and platforms that enable development of ML accelerator systems across both hardware and software environments.

In this role, you’ll own and enhance infrastructure around GitLab, CI/CD pipelines, containerized workflows (Docker/Podman), and developer productivity tools. You’ll collaborate closely with software and hardware teams to ensure reliable, scalable, and efficient development and deployment pipelines.

The team is looking for someone with strong hands-on experience in C/C++, Python, Linux-based systems, REST APIs, containers, and modern DevOps practices, with the ability to debug and improve complex CI and build environments.

• Bachelor’s degree in Computer Science, Engineering, Math, Physics, or a related field

• Experience working in startups or small, fast-moving teams

• Background in AI compute, ML accelerators, or subsystem development

• Prior experience in a DevOps-focused role

• Exposure to MLOps, including ML model deployment pipelines and development workflows