Senior DevOps Engineer - HPC and EDA Infrastructure

What you will do:

Design, deploy, automate, and operate the compute, storage, licensing, and CI/CD platforms that support High-Performance Computing (HPC) and Electronic Design Automation (EDA) workloads across on-premises, AWS, and Azure environments.
Build, maintain, and improve Jenkins or equivalent CI/CD pipelines for EDA and HPC engineering workflows, including automated software deployment, environment configuration, validation, and regression testing.
Standardize EDA tool packaging, deployment, configuration, and version management, and establish repeatable processes for promoting tool and infrastructure changes across development and production environments.
Manage Red Hat Enterprise Linux and Ubuntu systems and administer virtualized infrastructure based on Xen, VMware, KVM, or similar technologies.
Architect and operate secure hybrid-cloud infrastructure, including VPCs, AWS Direct Connect, VPN connectivity, auto-scaling, and cloud bursting.
Administer workload schedulers such as Slurm, Platform LSF, and SGE; automate job submission, resource allocation, and environment configuration; and improve workload throughput, availability, and utilization.
Manage NAS platforms, including TrueNAS, NetApp ONTAP, and AWS FSx for NetApp ONTAP, and optimize storage performance and reliability for high-throughput HPC and EDA workloads.
Deploy and maintain FlexLM and other vendor license servers, ensuring license availability, monitoring, compliance, and operational resilience.
Administer LDAP, Active Directory, SSO, and related identity systems, including domain permissions, role-based access, authentication, and audit logging.
Implement monitoring and reporting for compute, storage, schedulers, CI/CD pipelines, and license utilization; diagnose performance and capacity issues; and drive cost, reliability, and performance improvements.

What you bring to this role:

Demonstrated experience designing, automating, and operating reliable infrastructure for semiconductor EDA, HPC, or similarly compute-intensive engineering environments.
Strong experience building and operating CI/CD pipelines using Jenkins or an equivalent platform, including automated deployment, configuration, validation, and operational workflows.
Strong administration skills with Red Hat Enterprise Linux and Ubuntu, including automation, troubleshooting, performance analysis, and production operations.
Practical experience with HPC job schedulers such as Slurm, Platform LSF, or SGE, including workload management, resource allocation, and scheduler integration.
Experience deploying and operating hybrid environments across on-premises infrastructure and AWS or Azure, including secure networking, auto-scaling, or cloud bursting.
Experience managing NAS and high-performance storage platforms, including TrueNAS, NetApp ONTAP, or AWS FSx for NetApp ONTAP.
Experience deploying and administering FlexLM or other software-license management systems, with responsibility for availability, monitoring, and compliance.
Experience with virtualization technologies such as Xen, VMware, or KVM.
Experience administering LDAP, Active Directory, SSO, access controls, and security or audit logging in an engineering environment.
Ability to work across software, IT, security, and engineering teams; document technical decisions and operating procedures; and lead infrastructure improvements from design through production operation.
Typical background: 8+ years of experience in DevOps, infrastructure engineering, systems engineering, or a related discipline, including 5+ years supporting semiconductor EDA or HPC environments. Equivalent demonstrated expertise is also welcome; these are guidelines rather than mandatory minimums.

Bonus points for the following:

Experience with semiconductor design flows, EDA applications, and the compute, storage, and licensing requirements of chip-development teams.
Experience automating EDA tool deployment, configuration, version management, validation, and regression workflows.
Experience implementing hybrid-cloud bursting and elastic HPC orchestration.
Experience deploying or operating AWS ParallelCluster.
Experience deploying or administering MATLAB Parallel Server, including integration with HPC schedulers and compute clusters.
Experience integrating Linux-based engineering infrastructure with Windows workstation environments.
Experience improving platform reliability through monitoring, capacity planning, and continuous operational improvement.

Additional Requirements

This is a fast-paced, high-impact environment - flexibility to occasionally work extended hours or weekends during critical periods is expected.