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3 дня назад

Senior Data or Software Engineer (AI)

290 000 - 340 000$
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
Senior Data or Software Engineer (AI): Building filtering, retention, offload, and data movement systems for autonomous-driving datasets at hundreds of petabytes with an accent on Python, Spark, cloud data engineering, and data quality. Focus on designing low-compute pre-ingestion decisions, balancing storage and compute costs against data value, and preserving useful behavioral and environmental coverage for model training.

Location: Sunnyvale, California, USA; hybrid working model with in-person collaboration and remote work

Salary: $290K–$340K

Company

hirify.global is building an AI platform for autonomous driving that learns from real-world driving experience and supports scalable deployment across vehicle manufacturers.

What you will do

  • Implement and iterate filtering, retention, offload, and deletion policies across hot, cold, archive, and delete storage.
  • Build data movement and ingestion pipelines supporting pre-ingestion selection models.
  • Design where and how selection models run while balancing compute cost and data value.
  • Build early, low-compute decision points that prevent expensive standardisation and enrichment of low-value data.
  • Monitor data quality and ensure datasets provide useful behavioral and environmental coverage for model training.
  • Work closely with the dataset strategy lead, data infrastructure, storage, and vehicle-related teams to ship practical solutions.

Requirements

  • Senior data or software engineering experience running data ingestion or data quality pipelines at petabyte scale.
  • Strong Python and Spark skills.
  • Cloud data engineering experience.
  • Good judgement in data filtering and quality, including checking that valuable data has not been discarded.
  • Ability to ship practical solutions quickly and iterate on live systems.
  • Software engineering experience building systems around models rather than models themselves.
  • Ability and interest to work closely with data infrastructure and storage teams.

Nice to have

  • Experience in AV, robotics, fleet data, high-volume IoT, or retention, offload, and data lifecycle policies.
  • Passion for autonomy and willingness to learn even without meeting every qualification.

Culture & Benefits

  • Hybrid working with core hours, dedicated offices, and opportunities to work hands-on in vehicle workshops and labs.
  • Meaningful equity and salaries benchmarked against the market annually.
  • Relocation support and visa sponsorship where applicable.
  • Learning and development budgets for training, conferences, and growth.
  • Health insurance, dental coverage, enhanced maternity and paternity leave, retirement or pension provisions where applicable, therapist access, and wellbeing partner discounts.
  • Ownership in an evolving environment where working practices are still being developed.

Hiring process

  • Initial recruiter screen: 30 minutes.
  • Hiring manager introduction: 1 hour; competency interviews covering system design and technical leadership: 2 hours; domain deep dive: 1 hour.
  • Final mission and values alignment interview: 1 hour.

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