Senior Software Infrastructure Engineer

Reposted 25 Days Ago
Easy Apply
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Santa Clara, CA, USA
In-Office
175K-290K Annually
Senior level
Artificial Intelligence • Information Technology • Consulting
Talent Solutions for the AI Era
The Role
This role involves enhancing development infrastructure for ML systems, maintaining CI/CD pipelines, and collaborating with software and hardware teams. Requires strong skills in C/C++, Python, GitLab, and containerization.
Summary Generated by Built In

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.

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

  • 7+ years of industry experience in software infrastructure, DevOps, or platform engineering

  • Strong proficiency in C/C++ and Python

  • Deep experience with GitLab workflows, including merge requests, merge trains, and CI/CD pipelines

  • Hands-on experience with Docker and Podman containers

  • Experience using Kubernetes (K8s) or similar orchestration tools for deploying ML or large-scale workloads

  • Familiarity with Bazel, code coverage tooling, data source integration, and DevOps metrics

  • Proven ability to debug CI failures, perform root cause analysis, manage linting, bisect issues, handle remote code coverage, and implement security and vulnerability testing

Preferred
  • 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


California Pay Range
$175,000$290,000 USD

Top Skills

Bazel
C/C++
Docker
Gitlab
Kubernetes
Linux
Podman
Python
Rest Apis
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The Company
HQ: Livermore, CA
9 Employees
Year Founded: 2025

What We Do

We provide Talent Solutions for the AI Era. Our mission is to connect businesses with exceptional talent and consulting solutions that align with your company’s culture and values. We offer AI consulting services to enable businesses in leveraging cutting-edge artificial intelligence. We help discover, design and deploy AI solutions that streamline operations, boost productivity, and unlock new growth opportunities. Our team of AI experts, strategists, and technology specialists work closely with organizations to integrate AI-driven solutions that align with their unique goals and challenges. From automation and data analytics to predictive modeling and AI-based customer experiences, we provide end-to-end support for businesses embarking on their AI transformation journey.

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