Назад
Company hidden
3 дня назад

Autonomy Systems & Release Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Autonomy Systems & Release Engineer (AI): Leading the release group to deliver stable driving model baselines for autonomous vehicles with an accent on system-level evaluation and iteration efficiency. Focus on translating product requirements into engineering deliverables, driving data-informed decisions, and optimizing the release cycle for complex robotic systems.

Location: Must be based in London, UK (Hybrid)

Company

hirify.global is a leading developer of Embodied AI technology, creating mapless and hardware-agnostic AI products to accelerate the transition to automated driving.

What you will do

  • Lead a release group to ensure driving model baselines are delivered in a stable and predictable manner.
  • Evolve internal release processes to meet evolving product needs.
  • Collaborate with feature teams to define and implement robust evaluation strategies.
  • Identify process inefficiencies and design solutions to reduce iteration cycle times.
  • Work with product teams to ensure iterations align with goals and address metric gaps.
  • Apply hands-on knowledge of robotic systems to support data-driven decision-making.

Requirements

  • Must be based in London for hybrid office attendance.
  • Demonstrated leadership in technically complex, cross-functional environments.
  • Strong understanding of robotics, autonomous systems, or machine learning products.
  • Systems-thinking mindset with the ability to evaluate feature impact beyond isolated components.
  • Strong communication and stakeholder management skills.
  • Ability to make decisions under ambiguity and with incomplete data.

Nice to have

  • Experience translating product goals into engineering deliverables.
  • Background in release management, integration workflows, or large-scale deployment pipelines.
  • Familiarity with simulation, offline evaluation, and real-world performance correlation.
  • Experience with modern ML development and evaluation workflows.
  • Experience prototyping tools or lightweight evaluation frameworks.

Culture & Benefits

  • Hybrid working policy balancing office collaboration with remote flexibility.
  • Inclusive and diverse work environment.
  • Focus on innovation, learning, and solving complex challenges.
  • Commitment to professional growth and career development.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →