Senior Model Bringup & ML Compiler Engineer

General Compute Inc.

New York (NY)

On-site

USD 180,000 - 300,000

Full time

14 days+

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Job summary

General Compute Inc. seeks a senior IC to own bringup and validation of frontier LLM architectures on our ASIC. You’ll build and own the end-to-end bringup loop from reference weights to first correct tokens, working with a hardware partner.

Focus is correctness first, then optimization, with responsibilities spanning compiler internals, graph lowering, and high-performance kernels. You’ll ship a production-ready path that makes models run fast and correctly.

Qualifications

  • 5+ years in systems or ML systems.
  • Deep depth in at least one: ML compilers, model porting/bringup, or high-performance kernels.
  • Strong knowledge of modern LLM inference: transformers, attention, KV cache, MoE routing, quantization, batching.
  • Comfortable inside a compiler stack (MLIR/LLVM, XLA, or vendor graph compiler).
  • Fluent with agentic tooling and proactive bringup.
  • Self-directed; not assigned tickets.

Responsibilities

  • Own model bringup end-to-end, from reference weights to first correct tokens on an ASIC.
  • Build the agentic bringup loop: harness of agents that compiles, runs, diffs, and localizes failures.
  • Work in the compiler space: graph capture, IR lowering, op coverage, kernel selection; fix lowering or fused-kernel issues.
  • Own correctness before speed: verification harness and end-to-end evals to match reference.
  • Then optimize: operator fusion, quantization, memory layout, batching, KV-cache behavior.
  • Collaborate with hardware partner's compiler and runtime team to productionize models.

Skills

ML systems
Model bringup
Compiler stacks
LLM inference internals
Agentic tooling

Job description

General Compute Inc. seeks a senior IC to own bringup and validation of frontier LLM architectures on our ASIC. You’ll build and own the end-to-end bringup loop from reference weights to first correct tokens, working with a hardware partner.

Focus is correctness first, then optimization, with responsibilities spanning compiler internals, graph lowering, and high-performance kernels. You’ll ship a production-ready path that makes models run fast and correctly.

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