Senior Software Infrastructure Engineer

Phizenix

Santa Clara, CA, United States
$175,000—$290,000 usd py
On-site
Gitlab ci/cd pipelines
Containerized workflows (docker/podman)
C/c++, python, linux
Phizenix is seeking a Senior Software Infrastructure Engineer to join their team in Santa Clara, CA. The role focuses on enhancing development infrastructure for ML accelerator systems and requires strong experience in software infrastructure, DevOps practices, and proficiency in programming languages such as C/C++ and Python

Job Summary

  • 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.
  • 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.

Matching Summary

Match Score: 85

Phizenix is seeking a Senior Software Infrastructure Engineer to join their team in Santa Clara, CA. The role focuses on enhancing development infrastructure for ML accelerator systems and requires strong experience in software infrastructure, DevOps practices, and proficiency in programming languages such as C/C++ and Python.

Salary

$175,000—$290,000 USD

Skills & Requirements

Must-have

  • GitLab CI/CD pipelines
  • containerized workflows (Docker/Podman)
  • C/C++, Python, Linux
  • REST APIs, modern DevOps practices
  • debug CI failures, root cause analysis

Nice-to-have

  • startups or small, fast-moving teams
  • AI compute, ML accelerators
  • MLOps, ML model deployment

Key Requirements

  • Bachelor’s degree in Computer Science, Engineering, Math, Physics
  • 7+ years of industry experience
  • Strong proficiency in C/C++ and Python
  • Deep experience with GitLab workflows
  • Hands-on experience with Docker and Podman containers
  • Experience using Kubernetes (K8s)
  • Familiarity with Bazel
  • Proven ability to debug CI failures

Work Rights

Not specified

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