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5 дней назад

Principal Software Engineer (AI)

349 000 - 431 000$
Формат работы
hybrid/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

Principal Software Engineer (AI Engineering): Developing and optimizing post-training recipes and model architectures for autonomous driving with an accent on RL, SFT, and multi-modal models. Focus on driving the production rollout of model evolutions and bridging the gap between research and onboard deployment.

Location: Hybrid or Onsite in Mountain View, California

Salary: $349,000—$431,000 USD

Company

hirify.global is an autonomous driving technology company building the hirify.global Driver to improve mobility and safety globally.

What you will do

  • Prototype and experiment with onboard model designs and training recipes to verify model architecture before production.
  • Develop necessary data and evaluation infrastructure to enable rapid model experimentation.
  • Drive the technology roadmap for post-training techniques, specifically RL and training recipe evolutions.
  • Lead the production rollout of major model architectures to solve diverse behavior contexts in autonomous driving.
  • Facilitate strong collaborations between onboard engineering and research teams across hirify.global and Alphabet.
  • Evolve the post-training recipe roadmap to achieve capability goals and continuous production impact.

Requirements

  • Must be based in or able to work from Mountain View, California.
  • Hands-on experience in post-training techniques, such as RL and SFT.
  • Deep theoretical and practical understanding of model architectures in Robotics, VLA, or VLM.
  • Proven track record of building SOTA models and managing the entire model development process.
  • Production-driven mindset with strong ownership of quality, rigor in evaluation, and timely delivery.
  • Strong communication skills and organizational awareness for cross-functional collaboration.

Nice to have

  • Experience in model optimization and model-compute codesign.
  • Track record of driving cross-organizational transitions for large-scale systems.
  • Experience with modern ML data, training, and inference systems for large models.
  • Proven ability to coach and grow other engineers and technical leaders.
  • Domain experience in robotics or autonomous vehicles (AV).

Culture & Benefits

  • Competitive base salary with a discretionary annual bonus program.
  • Equity incentive plan.
  • Generous comprehensive company benefits program.
  • Access to millions of miles of real-world driving data and diverse sensor sets.
  • Collaborative environment with close ties to Alphabet research teams.

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