Software Infrastructure Engineer, Senior Staff

D-Matrix • Santa Clara, CA

47d • Hybrid

About The Position

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. The Role: Software Infrastructure Engineer, Senior Staff The role requires you to be part of the team that enables the Software Infrastructure to scale and to support the entire Software Engineering organization. As part of the software Infra team, you will be responsible for the development, enhancement, and maintenance of Gitlab, Docker, and the tools to support the development of our ML accelerator systems both on hardware and software. The Software Infrastructure team members are expected to have a strong exposure to C/C++, Python, REST APIs, Linux stacks and containers.

Requirements

• Computer Science, Engineering, Math, Physics, or related degree.
• Minimum 7+ years of industry experience in software infrastructures and DevOps.
• Proficient in C/C++, Python.
• Proficient with Gitlab merge process, merge trains, and CI/CD.
• Proficient with Docker and Podman containers.
• Experience with orchestration tools used for data center deployment of ML workloads such as K8s.
• Experience with Bazel, code coverage, data source integration, and DevOps metrics.
• Experience with root causing CI issues, linting, bisect tooling, remote code coverage, security and vulnerability test coverage

Nice To Haves

• Prior startup, small team, or incubation experience.
• Work experience at an AI compute/subsystem company.
• Prior experience as a DevOps engineer.
• Experience with MLOps and the ML workload deployment and development flow
• Willing to keep oneself up-to-date with the latest trends and research in the ML community and understand how the trends affect d-Matrix requirements and approach

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Number of Employees: 101-250 employees