jobapplier

Senior DevOps Engineer (HPC and EDA Infrastructure)

E-Space

Skills

Required

  • EDA
  • HPC
  • DevOps
  • AWS
  • configuration
  • Azure
  • validation
  • workflows
  • Jenkins
  • Xen / VMware / KVM
  • MATLAB

Preferred

  • capacity planning
  • deployment
  • CI/CD
  • automation
  • High-Performance Computing HPC
  • Electronic Design Automation
  • Linux
  • Ubuntu

Join E-Space, a company focused on revolutionizing the design and deployment of IoT solutions in space. As a Senior DevOps Engineer, you will be responsible for designing, deploying, automating, and operating the infrastructure that supports High-Performance Computing (HPC) and Electronic Design Automation (EDA) workloads. You will work across various environments, including on-premises, AWS, and Azure, and collaborate with software, IT, security, and engineering teams.

Responsibilities

  • 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.
  • Experience managing NAS and high-performance storage platforms, including TrueNAS, NetApp ONTAP, or AWS FSx for NetApp ONTAP
  • 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
  • Strong administration skills with Red Hat Enterprise Linux and Ubuntu, including automation, troubleshooting, performance analysis, and production operations
  • Experience integrating Linux-based engineering infrastructure with Windows workstation environments

Requirements

  • Practical experience with HPC job schedulers such as Slurm, Platform LSF, or SGE, including workload management, resource allocation, and scheduler integration
  • Experience deploying and administering FlexLM or other software-license management systems, with responsibility for availability, monitoring, and compliance
  • Demonstrated experience designing, automating, and operating reliable infrastructure for semiconductor EDA, HPC, or similarly compute-intensive engineering environments
  • Experience administering LDAP, Active Directory, SSO, access controls, and security or audit logging in an engineering environment
  • Experience deploying and operating hybrid environments across on-premises infrastructure and AWS or Azure, including secure networking, auto-scaling, or cloud bursting
  • Experience with virtualization technologies such as Xen, VMware, or KVM
  • 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
  • Strong experience building and operating CI/CD pipelines using Jenkins or an equivalent platform, including automated deployment, configuration, validation, and operational workflows
  • 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

Preferred

  • Experience improving platform reliability through monitoring, capacity planning, and continuous operational improvement

Pay

USD 140,000 - 200,000