Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

DevOps Engineer POSITION OVERVIEW We are seeking a skilled DevOps Engineer to join our EDA Infrastructure team. In this mid-level role you will be responsible for maintaining and improving our CI/CD pipelines, managing EDA tool licenses and environments, and resolving Linux system issues that directly impact engineering productivity. You will collaborate closely with hardware design, verification, and software teams to keep critical EDA infrastructure running reliably. KEY RESPONSIBILITIES GitLab CI/CD Design, maintain, and optimize GitLab CI/CD pipelines for hardware and software builds. Manage GitLab repositories, access controls, merge request workflows, and branch protection rules. Implement GitLab Runners on Linux hosts and container environments; tune executor configurations for EDA workloads. Monitor pipeline health, diagnose failures, and drive mean-time-to-recovery improvements. EDA Tool Administration Install, configure, and upgrade Cadence, Ansys, Siemens EDA (Mentor Graphics), and Keysight EDA tools across multi-user Linux environments. Administer FlexLM / RLM license servers; monitor utilization, and troubleshoot checkout failures. Linux System Administration Diagnose and resolve Linux system issues including kernel panics, NFS/storage failures, memory leaks, and network connectivity problems. Manage RHEL workstations and compute servers; apply security patches and OS updates on a scheduled cadence. Maintain NFS mounts, automounter configurations, and shared storage for EDA project data. Configure and monitor LSF compute farm nodes used for EDA batch jobs. Automate repetitive sysadmin tasks with Ansible playbooks and shell/Python scripts. QUALIFICATIONS 3–5 years of DevOps, systems engineering, or EDA infrastructure experience in a hardware design environment. Hands-on proficiency with GitLab (CI/CD pipelines, Runners, API, webhooks). Demonstrated experience administering at least one major EDA suite: Cadence, Siemens EDA, or Keysight. Strong Linux systems skills — RHEL preferred; comfortable at the command line for troubleshooting, scripting, and performance analysis. Experience with configuration management tools such as Ansible, Puppet, or Salt. Scripting proficiency in Bash and Python; Tcl/Perl experience a plus. Working knowledge of NFS, LDAP/Active Directory integration, and enterprise networking fundamentals. Strong communication skills and the ability to work effectively with engineering stakeholders. Experience with all four EDA vendors: Cadence, Ansys, Siemens EDA (Mentor Graphics), and Keysight. Experience with cloud-based EDA burst compute (AWS, Azure, or Google Cloud). Bachelor's degree in Computer Science, or related field.