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Senior Staff Systems Engineer
2 months ago
Cadence Design Systems is seeking a highly skilled Senior Staff Systems Engineer to join our team. As a key member of our infrastructure team, you will be responsible for accelerating strategic customer deployments and ensuring on-time bring-up and deployment of HPC infrastructure.
Key Responsibilities- Accelerate strategic customer deployments and ensure on-time bring-up and deployment of HPC infrastructure
- Participate in engagements with various SW and FW teams to develop best-in-class practices and tools
- Analyze, debug, and resolve critical firmware and software issues for workload performance at scale
- Provide engineering solutions to enable large-scale performance strategies for Datacenter GPU Computing products and software stacks
- Ensure technical relationships with internal and external engineering teams
- Assist systems engineers in building creative solutions
- Develop and implement server and rack-level telemetry aspects
- Collaborate and establish continuous improvements in our design flows
- Recent experience in critical data center technologies such as server architectures, software containers, job schedulers, and parallel computing
- Deployment and operation of large-scale systems; resilient system design; and clustering of computing resources
- Cluster management for HPC and actively connect with management regarding any problems with the equipment and propose a resolution
- Establish and maintain IT infrastructure and procedures for customer-facing and internal systems
- Actively establish the technical relationship with our customer's engineers, management, and architects at focus accounts
- Create and develop test plans for new features on each product
- Recommend improvements to enable automated scripting for testing and archiving of results
- Develop HPC computing strategies for cloud-based computing, GPU-accelerated computing, etc.
- Provide remote cluster support to large environments, including scalability/flexibility and troubleshooting end-user issues involving job submission, runtime, and resource access
- InfiniBand fabric configuration and administration on Red hat/Centos/Linux experience in configuring PKeys and troubleshooting the end-to-end InfiniBand environment
- InfiniBand fabric bring-up, configuration, subnet management, and monitoring on the IB switch and client side for multi-tenancy setup, understanding of IPoIB communication modes
- Performance comparison of the InfiniBand network with cluster interconnects and debugging the InfiniBand performance-related issues
- Automate configuration management, software updates, and system availability maintenance and monitoring using modern DevOps tools (Ansible, Gitlab, etc.)
- Be a technical specialist on GPU computing and networking products, directly supporting GPU customers
- Direct experience and strong knowledge of parallel programming, GPU CUDA/ROCm development, and applications
- Actively partner with the R&D teams delivering services to our infrastructure to gather their service requirements to live within this infrastructure
- Automate repetitive tasks and implement custom solutions using scripting/programming languages such as bash or python
- Configure and troubleshoot a heterogeneous (QDR, FDR, EDR) InfiniBand network and associated subnet manager
- Experience with High-performance computer interconnects (e.g. 10 and 40 Gigabit Ethernet, InfiniBand)
- Able to move 50+ pounds
