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4 дня назад

Onboard Safety Critical Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Onboard Safety Critical Software Engineer (AI): Developing and certifying onboard safety-critical processing software for air-refueling systems with an accent on DO-178B/C DAL A/B compliance, requirements engineering, and hardware/software integration testing. Focus on applying AI in airborne systems, static timing and structural coverage analysis, real-time operating systems, partitioning architectures, and software certification with authorities.

Location: Getafe Area, Spain; hybrid working model when possible

Company

hirify.global develops aerospace and defence systems, including safety-critical airborne software for air-refueling platforms.

What you will do

  • Own software requirements specifications for onboard safety-critical computing platforms in the Air Refueling domain.
  • Lead hardware/software integration testing for onboard safety-critical processing units.
  • Develop and verify software to RTCA DO-178B/C DAL A/B standards through testing, reviews, and analysis.
  • Support software certification activities with certification authorities and demonstrate compliance with DO-178B/C objectives.
  • Lead research and development projects focused on new technologies for safety-critical airborne systems development and certification.

Requirements

  • Senior-level experience in safety-critical software engineering and software certification processes.
  • Advanced knowledge of C/C++, Ada95/2012, UML, SysML, Matlab/Simulink, and SCADE Suite/Display.
  • Demonstrated experience applying RTCA DO-178B/C up to DAL A/B.
  • Advanced knowledge of static timing analysis, design constraints, optimization, real-time operating systems, partitioning architectures, and ARINC 653.
  • Knowledge of software verification, structural coverage analysis, worst-case execution time analysis, static code analysis, and formal reviews.
  • Advanced knowledge of artificial intelligence and demonstrated experience using AI techniques in safety-critical or airborne systems.

Nice to have

  • Advanced Python and scripting skills.
  • Experience with Agile frameworks, continuous integration, JIRA, and Git/Bitbucket.
  • Knowledge of GPU/GPGPU, FPGA integration of AI and computer vision algorithms, and certification of AI in airborne systems.
  • Experience with synthetic data generation, visual simulations, and Unreal Engine.

Culture & Benefits

  • Permanent employment with an attractive salary and compensation package.
  • Up to 35 working days off, including vacation and additional days off.
  • Hybrid work where possible, supporting work-life balance.
  • Health insurance, employee stock options, retirement plan, and study grants.
  • Collective transport at some sites, free canteen, kindergarten, and medical office.
  • Upskilling opportunities and development prospects in a multicultural environment.

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