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Own full-cycle recruiting for software, firmware, compiler, runtime, and ML infrastructure roles. Source passive candidates, build diverse pipelines, partner with engineering leaders on role definition and interview calibration, run interview loops, lead offer strategy and negotiation, and refine employer branding and hiring process using AI tools and data.

The Senior Software Engineer will develop high-performance software for executing open-source LLMs on custom hardware, focusing on optimizations and efficient libraries primarily in C++.

Own technical product planning for AI inference software: define requirements across model coverage, numerics, inference engine and serving-stack features, roadmap planning, ecosystem engagement, documentation, lifecycle management, and automation using agentic AI. Translate model and system trends into engineering scope and partner with engineering and GTM teams to deliver a managed inference service.

Lead technical product planning for silicon and rack-scale inference systems: write PRDs, define SKU and lifecycle strategy, translate customer and market signals into engineering requirements, perform performance and cost modeling, maintain competitive and partner intelligence, and streamline product planning using agentic AI.

As an ASIC Design Verification Engineer, you will develop and execute verification strategies for AI inference ASICs, ensuring functional correctness and performance, while collaborating with design and architecture teams.

Lead end-to-end DFT/DFx strategy and hands-on implementation for AI inference ASICs: define DFT architecture, integrate into RTL and third-party IP, drive ATPG/BIST/scan verification through tapeout, partner with physical design and external vendors, and support silicon bring-up.