Description

Design and architect technical solutions for GenAI platforms across hardware and software layers.

Responsibilities

• Collaborate with product, GenAI, and engineering teams to support HPC and AI/ML applications.
• Establish security protocols for GenAI applications, including vulnerability assessments and regular audits.
• Design deployment solutions for embedded environments in automotive, industrial, networking, and storage verticals.
• Optimize AI/ML pipelines, MLOps workflows, and OTA deployment methods including cloud provisioning.
• Build and lead a Platform Enablement team by hiring professionals and defining technical roadmaps.

Required Skills

• Experience architecting complex technical solutions for embedded systems and cloud architecture.
• Proficiency in Cloud, Kubernetes, containers, and MLOps.
• Hands-on Linux and scripting skills with knowledge of OS kernels and system engineering.
• Experience with data centers and enterprise system architecture.
• Ability to perform product engineering, failure analysis, and hardware/test design debugging.
• Experience with large-scale QA environments for product bring-ups.
• Strong understanding of standard software engineering principles and automated scaling.

Preferred Skills

• Background in embedded designs for automotive, industrial, compute, storage, and networking.
• Experience with productivity tools and process automation.

Key Skills

Education

Any graduate