Senior Cloud Infrastructure Engineer (EDA)
KeplercomputeJob Title
Senior Cloud Infrastructure Engineer (EDA)
Role Summary
As Senior Cloud Infrastructure Engineer, you will own and evolve the AWS/Linux infrastructure that supports Kepler's silicon design and EDA engineering environment. You will be the primary administrator responsible for stability, scaling, performance, and optimization of cloud-based design tools, virtual engineering desktops, and high-performance shared filesystems.
Collaborate with chip design and verification teams to ensure reliable, high-throughput compute and storage for CAD workloads.
Experience Level
Senior; requires 7+ years of Linux systems administration and 5+ years of AWS cloud administration/engineering experience.
Responsibilities
Primary responsibilities include operating and tuning Linux and cloud infrastructure supporting EDA workflows.
- Manage deployment, patching, security hardening, and OS performance tuning of enterprise Linux servers (RHEL, AlmaLinux or similar) in AWS.
- Administer and tune high-performance cloud shared filesystems (AWS FSx for NetApp ONTAP or similar) for heavy read/write and metadata workloads.
- Operate virtual desktop infrastructure and remote access environments (ThinLinc cluster or similar, OpenVPN).
- Administer floating license servers (FlexLM) and integrate Linux user authentication with corporate identity systems (NIS, Active Directory via SSSD).
- Maintain Infrastructure as Code (Terraform/CloudFormation) and configuration management (Ansible).
- Monitor system health, diagnose performance issues, and implement scalability and reliability improvements.
Requirements
Must-have technical skills and experience:
- 7+ years Senior Linux systems administration experience.
- 5+ years AWS cloud administration/engineering experience.
- Expert-level Linux troubleshooting (strace, iostat, sar), memory allocation, storage/LVM management, and NFSv3/NFSv4 tuning.
- Deep hands-on knowledge of AWS architecture, including VPC networking (Transit Gateways, subnets, Security Groups), IAM governance, EC2 lifecycle management, and Route 53.
- Production-ready automation and scripting in Bash and Python.
- Experience with IaC and configuration tools: Terraform, CloudFormation, Ansible.
- Experience managing enterprise storage optimized for heavy metadata workloads.
Nice-to-have:
- Experience supporting engineering IT or EDA design environments and semiconductor CAD tools (Cadence, Synopsys, Siemens).
- Familiarity with HPC clustering and schedulers (IBM Spectrum LSF, Slurm).
- Experience with Microsoft Server/Active Directory, ClioSoft SOS, Git, or compiling scientific Linux tools.
Education Requirements
Not specified.
About the Company
Company: Keplercompute
Headquarters: San Jose, California, United States
Kepler is a semiconductor startup developing a new class of AI memory and logic using advanced materials and 3D architectures to build UHBM-based 3D-memory AI accelerator platforms. The team includes experienced semiconductor veterans and partners with foundries and customers to move lab technologies toward production.
