2 ai engineer jobs found

Apex Systems, Inc. Job#: 3017208 Job Description: This role is responsible for designing, implementing, and supporting cloud infrastructure across multiple cloud service providers. The position requires strong hands-on experience with cloud networking, DevOps practices, and secure, scalable architecture patterns. The engineer will collaborate closely with application teams, architects, and security partners to deliver reliable and resilient cloud solutions. Core Responsibilities Design, build, and support cloud infrastructure with a strong understanding of cloud compute, sizing, data flows, and inter-service communication across hybrid, onpremises, and multicloud environments. Develop and maintain DevOps CI/CD pipelines and orchestration workflows. Integrate and manage thirdparty PaaS/SaaS tools within cloud environments. Implement architectures that support regional redundancy, availability zones, and faulttolerant design. Apply security best practices...

Rogers Corporation Summary: This role leads the thermal system and application architecture for DirecttoChip (D2C) liquid cooling solutions used in AI and ML data centers and serves as the technical authority responsible for defining, assessing, and integrating cooling components at the system level to ensure they meet the performance requirements of current and nextgeneration AI and HPC processors. This individual will be akey technical interface for both prospective and existing customers, providing systemlevel expertise in liquidcooled AI/ML applications. Essential Functions: System Architecture & Design Define and evaluate Direct-to-Chip liquid cooling architectures for AI/ML data centers Understand and assess the complete thermal path: Chip, Package, TIM, Cold Plate, Coolant, CDU, Heat Rejection Evaluate system-level trade-offs between thermal performance, cost, complexity, and scalability Component & Integration Expertise Deep application-level...