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11 часов назад

Software Engineer (C++)

160 650 - 217 350$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US/Germany/Finland
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Software Engineer (C++): Building and optimizing high-performance offline search engines for mobile and automotive platforms with an accent on memory management, algorithmic efficiency, and system-level programming. Focus on designing advanced data compression techniques and delta update pipelines to ensure reliable search results on hardware-constrained devices.

Location: Remote (US, Germany, Finland)

Salary: $160,650–$217,350 (US base)

hirify.global is a leading real-time location platform providing tools for navigation and location-aware businesses worldwide.

What you will do

  • Design and optimize core search algorithms for on-device execution under strict CPU and memory constraints.
  • Develop advanced tile compression techniques and efficient delta update pipelines for offline data delivery.
  • Collaborate with R&D and backend teams to ensure parity between cloud and offline search products.
  • Engage with automotive OEMs and Tier 1 suppliers to align technical deliverables with hardware specifications.
  • Monitor system telemetry to evaluate performance tradeoffs and drive architectural improvements.
  • Define technical roadmaps and author design documents for next-generation offline search capabilities.

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent experience.
  • Strong proficiency in C++ with solid understanding of memory management and multi-threading.
  • Experience with Python for tooling, data processing, or test automation.
  • Proven ability to analyze and optimize code for performance-constrained environments.
  • Familiarity with data structures, algorithmic efficiency, and binary data formats.
  • Excellent communication skills in English for effective cross-functional collaboration.

Nice to have

  • Prior experience in the mapping, navigation, or automotive industry.
  • Knowledge of machine learning techniques for geospatial data analysis.
  • Contributions to open-source geospatial or data analysis projects.

Culture & Benefits

  • Supportive health care and parental leave policies.
  • Emphasis on an environment of teaching, learning, and professional growth.
  • Commitment to diversity, equity, and inclusion across all backgrounds.
  • Flexible work environment designed to support work-life balance.

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