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Platform Recruitment seeks verification engineers to help build scalable silicon for GenAI workloads, spanning compute, memory management and high-speed interconnects. Roles are open across experience levels, with flexibility to move between core verification and tooling.
Ideal candidates will drive verification from architecture through production silicon, employing SystemVerilog, Python and C/C++, UVM and formal methods. The team emphasizes end-to-end ownership from block to tapeout.
We're working with a well-funded, highly selective AI infrastructure startup building silicon for large-scale AI inference and training. Founded by veteran chip architects who previously led a major AI hardware program at a top tech company, the business has grown fast and is backed by top-tier investors.
They're looking for verification engineers to help build best-in-class silicon for high-performance, sustainable GenAI, across compute, memory management, and high-speed connectivity. They have openings at all levels.
Scope isn't fixed here: they want versatile engineers who can move between core verification and tooling rather than staying in one lane.
Compensation is highly competitive, with strong equity and full benefits.