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2 мСсяца Π½Π°Π·Π°Π΄

Staff Engineer, Computer Vision (C++)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Australia
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

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TL;DR
Staff Engineer, Computer Vision (C++) (real-time autonomous systems): Developing and integrating custom computer vision algorithms into high-performance C++ perception pipelines with an accent on real-time performance, reliability, and edge deployment. Focus on camera calibration, geometric vision, image-to-world projection, visual registration, multi-sensor alignment, and translating research concepts into deployable software.

Location: Melbourne, Australia; hybrid workplace

Company

hirify.global develops autonomous systems and real-time AI capabilities for mission-critical applications.

What you will do

  • Design, develop, and integrate custom computer vision algorithms into high-performance C++ software pipelines.
  • Build real-time perception capabilities for autonomous systems and edge computing environments.
  • Develop geometry-based vision pipelines for camera modelling, calibration, image-to-world projection, geolocation, and visual registration.
  • Translate research concepts into reliable, deployable software and own work from ambiguous requirements through delivery.
  • Collaborate with AI, robotics, and optical engineering specialists on multidisciplinary solutions.

Requirements

  • Degree in Computer Vision, Computer Science, Engineering, or a related technical field.
  • Deep proficiency in C++ and experience developing high-performance, real-time software.
  • Experience designing and implementing custom computer vision algorithms from scratch.
  • Strong understanding of computer vision, image processing, and machine learning principles.
  • Strong software engineering fundamentals, including data structures, algorithms, performance optimization, and version control.
  • Ability to collaborate with multidisciplinary teams and deliver reliable edge solutions.

Nice to have

  • Master’s or PhD in Computer Science, Engineering, or a related field.
  • Experience with object detection, target tracking, 3D reconstruction, SLAM, camera calibration, or behaviour analysis.
  • Knowledge of photogrammetry, epipolar geometry, bundle adjustment, terrain or map-based registration, and sensor alignment.
  • Familiarity with OpenCV and deep learning integration for real-time vision systems.
  • Experience in defence, autonomous unmanned systems, automated video surveillance, or other mission-critical domains.

Culture & Benefits

  • Hybrid work arrangement in the Melbourne office.
  • Work on autonomous systems and edge-deployed perception technologies.
  • Offers depend on skills, experience, licenses, certifications, and specific work location.
  • Employment is contingent on a cleared background and possible reference check.
  • Equal opportunity workplace with accommodations available for disabilities or special needs.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’