Senior DevOps Engineer - HPC and EDA Infrastructure
$140k - $200kE-Space
Job Description
Job Description
Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place!
E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems.
We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life.
Your missionOwn the infrastructure that enables engineering teams to run HPC and EDA workloads reliably across on-premises and cloud environments, from deployment and automation through production operation.
What you will ownOwn the design, deployment, automation, and operation of 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.
Anticipate capacity, reliability, and dependency risks, make considered technical decisions, and coordinate changes with software, IT, security, and engineering teams. Make commitments and validation criteria explicit, communicate risks early, and follow through until changes are verified in operation.
What you bringDemonstrated 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.
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.
Engineering teams have reliable access to compute, storage, and licenses, with repeatable tool environments and validated CI/CD workflows. Monitoring and capacity planning support improvements in workload throughput, availability, utilization, and cost.
Additional RequirementsThis is a fast-paced, high-impact environment - flexibility to occasionally work extended hours or weekends during critical periods is expected.
This is a full time, exempt position, based out of our Santa Clara, CA location. The target base pay for this position in Santa Clara, California is $140,000 - $200,000 annually. The total compensation package will be determined by various factors such as your relevant job-related knowledge, skills, and experience and location.
We are redefining how satellites are designed, manufactured and used—so we’re looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that’s your experience – then we’ll be immediately wow-ed.
E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role.
Why E-Space is right for you:
As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry.
We want you to make the most of your journey at E-Space. That’s why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space:
• An opportunity to really make a difference
• Sustainability at our core
• Fair and honest workplace
• Innovative thinking is encouraged
• Competitive salaries
• Continuous learning and development
• Health and wellness care options
• Financial solutions for the future
• Optional legal services (US only)
• Paid holidays
• Paid time off
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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