Lead Data and AI strategy for the Animal Health Business Unit at Boehringer Ingelheim, leveraging data and AI capabilities for customer impact and business efficiency.
About the role
- Senior Principal HPC/AI Infrastructure Architect leading design of large-scale AI infrastructure solutions. Collaborating to innovate and expand expertise in cutting-edge AI technologies.
Responsibilities
- Lead the technical design and architecture of large-scale AI infrastructure solutions
- Design GPU cluster architectures for AI and HPC workloads
- Lead technical discussions and conduct workload sizing
- Develop lab infrastructure for AI testing
- Deploy customer-specific AI workloads
- Maintain vendor relationships and evaluate emerging technologies
Requirements
- 8+ years in HPC/AI infrastructure design
- 5+ years working with GPU-accelerated systems
- Proven experience with large-scale GPU deployments (1000+ GPUs)
- Successful track record in technical bid support and customer engagement
- Technical Competencies: GPU Architectures, Interconnects, Storage Systems, Container Platforms, Performance Tools
- Certifications (Preferred): NVIDIA Deep Learning Institute (DLI), Red Hat Certified Specialist in OpenShift, InfiniBand Certified Professional
Benefits
- Opportunity to work on cutting-edge AI infrastructure projects
- Collaborative and innovative work environment
- Access to advanced lab infrastructure and vendor technologies
- Career development through technical leadership and innovation
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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