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37 минут назад

AI Systems Engineer (AI)

150 000 - 225 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Systems Engineer (AI): Building autonomous AI systems that transform newly released model architectures into verified, production-ready kernels optimized for Etched hardware with an accent on agentic experimentation, performance profiling, and production execution. Focus on designing correctness and efficiency evaluations, curating proprietary optimization datasets, and shipping model-generated improvements to inference systems.

Location: On-site in San Jose, California. Relocation support is available for candidates moving to San Jose.

Salary: $150,000–$225,000 per year, plus equity.

Company

hirify.global builds integrated chips, racks, software, and manufacturing systems for high-throughput, low-latency AI inference.

What you will do

  • Build systems that convert new model architectures into verified, production-ready kernels and model mappings.
  • Develop agents that understand hardware, design experiments, generate implementations, profile results, diagnose bottlenecks, and iterate on solutions.
  • Design evaluations for correctness, numerical stability, latency, and efficiency.
  • Convert profiler traces, simulations, hardware counters, and expert judgment into structured learning signals.
  • Curate proprietary datasets and optimization memory, while building reproducible experiment infrastructure and observability.
  • Ship model-generated improvements to production and collaborate with architecture teams on the hardware-software roadmap.

Requirements

  • Experience solving difficult problems across different technical stacks and domains.
  • Strong working knowledge of Python and low-level code, including reading, modifying, debugging, and directing AI-assisted implementation.
  • Experience writing or tuning kernels and explaining the performance impact of optimizations.
  • Ability to use agentic coding tools, deep research, and frontier models to learn and solve new problems.
  • Ability to move between research exploration, agentic experimentation, low-level debugging, and production execution.

Nice to have

  • Knowledge of accelerator performance, including memory hierarchy, data movement, parallelism, synchronization, and low-precision computation.
  • Experience building and shipping production LLM-based agents or AI tooling.
  • Experience with evaluation-driven AI development, fine-tuning, post-training, RAG over proprietary data, or multi-agent orchestration.
  • High agency and comfort working through ambiguity.

Culture & Benefits

  • Fully in-person collaboration in San Jose, with engineering and research work closely integrated.
  • Medical, dental, and vision coverage, plus a $500 monthly credit for waiving medical benefits.
  • $2,000 monthly housing subsidy for employees living within walking distance of the office.
  • Wellness benefits, daily office lunch and dinner, and an unlimited compute budget subject to ROI justification.
  • Relocation support for candidates moving to San Jose.

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