AI Infrastructure Engineer

We are looking for a senior AI Inference Infrastructure Software Engineer with strong hands-on experience building, optimizing, and deploying high-performance, scalable inference systems. This position is focused on designing, implementing, and delivering production-grade software that powers real-world applications of Large Language Models (LLMs) and Vision-Language Models (VLMs).

This is an exciting opportunity for an engineer who thrives at the intersection of AI systems, hardware acceleration, and large-scale robust deployment, and who wants to see their contributions ship in production, at scale.

In this role, you will directly shape the architecture, roadmap and performance of AI capabilities of our AIOS platform, driving innovations that make LLM/VLM systems fast, efficient, and scalable across cloud, edge, and hybrid edge-cloud environments. You will work closely with system, hardware, and product teams to deliver high-performance inference kernels for hardware accelerators, design scalable inference serving systems, and integrate optimizations such tensor parallelism and custom kernels into production pipelines. Your work will have immediate impact, powering intelligent automotive systems in the next generation of electric vehicles.

Roles and Responsibilities :

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