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6 дней назад

Senior Principal Model Bring-up Engineer (AI)

208 000 - 312 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Principal Model Bring-up Engineer (AI): Bringing open-weight LLM architectures from Hugging Face to production serving on SambaNova RDU dataflow accelerators with an accent on model adaptation, multi-chip mapping, compilation, and strict numerical validation. Focus on building shared inference modules for continuous batching, speculative decoding, FP8/FP4, tensor and expert parallelism, and debugging across models, compilers, and hardware.

Location: Austin, Texas, United States, or San Jose, California, United States

Base salary: $208,000–$312,000 USD per year

Company

hirify.global develops AI infrastructure and a full-stack inference platform based on RDU dataflow accelerators and SambaRack rack-scale hardware.

What you will do

  • Bring up dense, mixture-of-experts, and hybrid Mamba/attention LLMs from model adaptation through production serving.
  • Convert checkpoints, map models across chips and hosts, compile them, and validate numerical correctness against reference implementations.
  • Build shared inference modules for continuous batching, paged KV caching, prompt caching, chunked and incremental prefill, dynamic tensor shapes, speculative decoding, FP8/FP4, and tensor/expert parallelism.
  • Debug issues across models, compilers, and hardware, landing fixes in reusable shared components.
  • Own a model family from first compile to served and merged, while shortening a long-running team workflow.

Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
  • 8+ years of industry experience in ML systems, inference, or compiler engineering.
  • Strong Python and PyTorch internals experience, plus some C++.
  • Deep transformer-inference knowledge covering KV caching, GQA, sliding-window attention, MoE routing, prefill versus decode, batching, and speculative decoding.
  • Hands-on experience with accelerator bring-up, ML compilers such as MLIR, XLA, TVM, Triton, or torch-mlir, or inference engines such as vLLM, SGLang, or TensorRT-LLM.
  • Rigor in numerical debugging and comfort with Bazel, Slurm, and large monorepos.
  • Clear writing and evidence-backed claims.

Nice to have

  • Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.
  • Experience with dataflow or spatial compilers, kernel DSLs, FP8/FP4 inference, Mamba and SSMs, expert parallelism, multi-agent AI engineering workflows, or open-source inference/compiler contributions.

Culture & Benefits

  • Full-time US employment with base salary, equity, and benefits.
  • Medical insurance with 95% employee premium coverage and 77% dependent premium coverage, plus employer-funded HSA contributions.
  • Dental, vision, disability, life, AD&D, and flexible spending account options.
  • Well-being benefits including Headspace, Gympass+, One Medical, and counseling through an Employee Assistance Program.
  • Equal Opportunity/Affirmative Action employer.

Hiring process

  • Submit a separate application form for each position for which you wish to be considered.

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