Cornelis NetworksRemote
Senior AI Automation Engineer
United States of America
Full Time
1 week ago
H1B Sponsor Likely
Key skills
ASIC design automationAI methodologiesLinux administrationBatch systems LSFBatch systems SlurmStorage systems NetAppStorage systems IsilonStorage systems QumuloVDI environmentsEDA toolsworkflowsTool installationlicensingScriptingautomation Pythonautomation Tclautomation BashHPC operationsMulti-site global infrastructure managementPythonBashAIAzureLeadershipCommunication
About this role
Cornelis Networks is building the future of AI and HPC networking with an AI-first approach to silicon and software development. They are seeking a Senior AI Automation Engineer to develop high-performance ASIC design workflows using AI, focusing on optimizing design and verification flows, and driving efficiencies with AI and automation across tools and EDA workflows.
Responsibilities:
- Lead the optimization of ASIC design and verification flows and infrastructure, including compute clusters, storage, batch queuing systems using AI methodologies
- Drive efficiencies with AI and automation across all tools and EDA workflows. Perform tool license management and optimization on batch compute environment
- Manage ASIC tool installation, environment setup, and licensing support for ASIC design and AI applications
- Collaborate with design and verification teams, IT, and engineering leadership to implement scalable and efficient workflows
- Drive process improvements, patch management, and operational efficiency across multiple sites
- Implement and maintain metrics reporting for resource utilization, engineering productivity, and system performance
Requirements:
- B.S. or M.S. degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
- 10+ years of experience supporting ASIC EDA environments in multi-site, global organizations. Strong exposure to AI
- Strong expertise in Linux administration, batch systems (LSF, Slurm), storage (NetApp, Isilon, Qumulo), and VDI environments
- Experience with EDA tools and ASIC workflows, including tool installation, licensing, and operational support
- Scripting and automation experience (Python, Tcl, Bash) to support HPC/EDA operations and productivity
- Proven ability to lead teams, collaborate across global sites, and manage projects with complex infrastructure dependencies
- Excellent communication skills to interface with design teams, IT, and vendors
- Large-scale data center EDA environment and AI projects
- Cloud HPC deployments and cost optimization strategies (Azure, CycleCloud, HPC burst management)
- Implementing metrics-driven operations for system performance and engineering productivity