GenAI Platform Engineer: Kubernetes, On-Prem GPU Infra
Kerry Search Partners
Detroit (MI)
On-site
USD 160,000 - 170,000
Full time
14 days+
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Benefits offered by this job
Medical insurance
Pension plan
Paid paternity leave
Tuition assistance
Disability insurance
Child care support
Vision insurance
Paid maternity leave
Student loan assistance
401(k)
Job summary
A leading semiconductor firm based in Detroit is looking for a Mid-Senior level professional to build a foundational Generative AI platform. This full-time opportunity involves operating both on-premises GPU infrastructure and cloud environments. Responsibilities include designing Kubernetes-based AI systems and ensuring high availability and scalability. Candidates should have strong experience in Linux systems, Kubernetes, and GPU infrastructure management, making this a key role to drive technological innovation.
Qualifications
Deep experience deploying, operating, and troubleshooting Kubernetes systems.
Hands-on experience building and operating AI/ML platforms.
Strong knowledge of configuring GPU infrastructure for AI workloads.
Responsibilities
Build and operate a GenAI platform for internal products.
Design Kubernetes-based AI infrastructure on on-prem GPU clusters.
Configure and manage LLMs for enterprise applications.
Skills
Linux systems background
Kubernetes expertise
AI/ML platform experience
GPU infrastructure management
LLMs and vector databases knowledge
HPC environment experience
Hybrid environment operations
Tools
Kubernetes
GPU infrastructure
Linux
Job description
A leading semiconductor firm based in Detroit is looking for a Mid-Senior level professional to build a foundational Generative AI platform. This full-time opportunity involves operating both on-premises GPU infrastructure and cloud environments. Responsibilities include designing Kubernetes-based AI systems and ensuring high availability and scalability. Candidates should have strong experience in Linux systems, Kubernetes, and GPU infrastructure management, making this a key role to drive technological innovation.