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2 часа назад

Software Engineer (ML Inference Platform)

160 360 - 240 540$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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
Software Engineer (ML Inference Platform): Building and optimizing core infrastructure for autonomous driving models with an accent on ML pipelines, inference platforms, and model compilers. Focus on designing scalable distributed systems and ensuring high-performance deployment of autonomy models on robotic hardware.

Location: Mountain View, California (HQ)

Salary: $160,360–$240,540 per year

Company

hirify.global is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles and logistics applications.

What you will do

  • Design and develop ML workflow pipelines to train, optimize, validate, and deploy autonomy models.
  • Develop and maintain continuous testing and monitoring systems for core ML infrastructure.
  • Build observability tools to track ML model lifecycles from data generation to on-road validation.
  • Maintain an in-house ML inference platform for efficient model serving.
  • Maintain an in-house ML compiler platform to deploy models across various hardware.

Requirements

  • BS, MS, or Ph.D. degree with 1+ years of relevant experience.
  • Strong proficiency in Python or similar languages.
  • Familiarity with C++.
  • Experience working with ML pipelines and designing complex distributed systems.
  • Ability to learn fast and improve complex systems independently.

Nice to have

  • Strong proficiency in C++ or other high-performance low-level languages.
  • Experience with large-scale distributed systems and framework design.
  • Experience with data workflow orchestration platforms.
  • Experience with ML compilers.

Culture & Benefits

  • Competitive base pay with annual performance bonus and equity.
  • Comprehensive benefits package.
  • Commitment to a diverse, inclusive, and psychologically safe workplace.
  • Equal opportunity employer.

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