Design, deploy, and maintain Linux-based infrastructure supporting architecture modeling, simulation, and projection workflows.
Design and operate CI/CD pipelines for modeling frameworks, analysis tools, and supporting software components.
Develop and maintain automation for build systems, toolchains, packaging, and dependency management.
Enable scalable and reproducible execution of compute-intensive workloads.
Manage artifact storage, versioning, and distribution for software builds and modeling outputs.
Monitor and improve pipeline performance, reliability, and observability.
Debug infrastructure issues across the software stack including build systems, storage, networking, and distributed compute environments.
Work cross-functionally with architects and developers to improve developer productivity, tooling quality, and system scalability.
Own and drive improvements to infrastructure components end-to-end.

Requirements

Bachelor's Degree with 4+ or more years of experience, or a Master's Degree with 3+ years of experience, or a PhD in Computer Science, Information Systems, Electrical Engineering, Mathematics or any other STEM-related discipline.
3+ years of experience in infrastructure engineering, DevOps, software engineering and build/release engineering.
3+ years of experience working in Linux development environments.
2+ years of experience with CI/CD systems (Jenkins, GitHub Actions, GitLab CI, or similar).
2+ years of experience with build systems such as GNU Make, CMake, Bazel, or Ninja.
Advanced STEM degree and 7+ years of professional experience (preferred).
Experience writing scripts or software for automation (Python, Bash, or similar) (preferred).
Experience supporting software development workflows such as build systems, testing pipelines, or deployment processes (preferred).
Experience with container technologies such as Docker or Kubernetes (preferred).
Experience supporting large-scale compute environments, HPC systems, or distributed workloads (preferred).
Experience with job scheduling systems (e.g., Slurm or similar) (preferred).
Experience managing storage systems or distributed filesystems (e.g., NFS or similar) (preferred).
Familiarity with performance tuning and resource utilization optimization in shared compute environments (preferred).
Experience supporting data analysis, modeling, or simulation workflows (preferred).
Familiarity with EDA tools, architecture modeling environments, or semiconductor development workflow (preferred).

Benefits

Competitive pay
Stock bonuses
Health insurance
Retirement plans
Paid time off
Flexible work arrangements

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

LinuxCI/CDautomationbuild systemsscriptingDockerKubernetesHPC systemsjob scheduling systemsperformance tuning

Soft Skills

cross-functional collaborationproblem-solvingcommunicationleadershiporganizational skills