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5 часов назад

Software Engineer, Operational/ Process Efficiency (AI)

175 000 - 215 000$
Формат работы
hybrid
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

Software Engineer, Operational/ Process Efficiency (AI): Developing next-generation operational efficiency for an autonomous fleet with an accent on generalizing depot operations using advanced robotics. Focus on integrating foundation models, reinforcement learning, and simulation into production at scale to automate the hardware lifecycle.

Location: Hybrid work schedule in Mountain View, California

Salary: $175,000—$215,000 USD

Company

hirify.global is an autonomous driving technology company with the mission to be the world's most trusted driver.

What you will do

  • Drive the automation of the hardware lifecycle for critical sensors (lidar, radar, cameras) and compute modules.
  • Develop and deploy agentic systems and foundation models to streamline workflows between internal teams and contract manufacturers.
  • Apply AI to manufacturing, installation, and troubleshooting processes to increase operational velocity.
  • Collaborate with hardware design, failure analysis, and diagnostic teams to translate physical requirements into technical specifications.
  • Bridge the gap between experimental ML models and high-scale production environments.

Requirements

  • Masters or PhD in Machine Learning, Computer Science, or a related technical field.
  • Proven track record of delivering engineering solutions that balance scientific rigor with production needs.
  • Experience in training, evaluating, and deploying machine learning models at scale.
  • Strong communication skills and ability to collaborate across multidisciplinary teams.
  • Must be able to work in a hybrid capacity in Mountain View, California

Nice to have

  • Hands-on experience with agentic tools and frameworks.
  • Experience fine-tuning large-scale foundation models (LLMs, VLMs) for specialized domains.
  • Background in automating industrial or hardware-centric workflows.
  • Familiarity with hardware diagnostics, failure analysis, or manufacturing processes.

Culture & Benefits

  • Discretionary annual bonus program.
  • Equity incentive plan.
  • Generous company benefits program.
  • Opportunity to work with the world's most experienced autonomous driving technology.

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