AI Senior Staff Systems Engineer
ExternalFull-timeOn-site2w ago
AzureBashCI/CDComplianceDeep LearningDocker
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Responsibilities
- Security and Compliance: Develop and implement security best practices for our AI systems and data, ensuring compliance with relevant regulations and protecting our intellectual property.
- Required Skills and Qualifications
- 10+ years of experience in a senior technical role, with at least 5 years focused on building and operating high-performance computing or AI infrastructure. Proven track record as a Principal or Senior Staff Engineer.
- Expert-level knowledge of NVIDIA GPU architecture and technologies like CUDA and cuDNN . Extensive experience with multi-GPU and multi-node training and inference.
- Proven experience with public cloud AI services, specifically managing access, usage, and billing for Azure OpenAI and Google Cloud Platform (GCP) services.
- Extensive hands-on experience with Docker : image management, container orchestration, and troubleshooting.
- Proficiency in scripting languages such as Python , Bash , or Perl .
- Deep expertise in Linux system administration ( RHEL preferred), including networking, storage, and performance tuning.
- Familiarity with user authentication and integration using systems like LDAP or Active Directory .
- Strong problem-solving and communication skills with the ability to work in a multi-platform, cross-functional, and geographically distributed team.
- Preferred/Bonus Skills
- Understanding of AI job profiling and tuning (memory, GPU, I/O).
- Experience administering LSF clusters in a production or research environment. Familiarity with other job schedul
Benefits
Health insurancePerformance bonus
Additional Information
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We are seeking a highly skilled and experienced AI Systems Engineer to join our team. This is a hands-on, senior individual contributor role that will be pivotal in leading the development, operations, and support of our entire AI infrastructure. You will be responsible for the entire lifecycle of our AI systems, from architecting and building high-performance GPU clusters to deploying and optimizing our most advanced AI models and agentic services.
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Company Intel
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