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обновлено 7 дней назад

Senior Software Developer (AI)

115 000 - 164 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
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
Senior Software Developer (AI): Building backend services, virtual development environments, software-in-the-loop workflows, and AI-enhanced simulation capabilities with an accent on automation, APIs, embedded systems, and compute-intensive workloads. Focus on integrating ML components, orchestrating virtual ECUs and model execution, optimizing simulation pipelines, and contributing to CI/CD workflows.

Location: Hybrid in Markham or Oshawa, Ontario, with a minimum of three days per week in the office

Salary: $115,000–$164,600 per year

Company

hirify.global develops automotive products and technologies focused on safer, cleaner, and more equitable mobility.

What you will do

  • Develop backend services for virtual ECUs, simulation orchestration, and model execution.
  • Build software-in-the-loop tools for scenario execution, data capture, and automation.
  • Integrate AI and ML components into simulation and validation pipelines.
  • Design APIs for simulation control, artifact management, and orchestration.
  • Optimize compute-intensive workloads and contribute to CI/CD workflows.
  • Collaborate with DevOps and simulation teams on system integration.

Requirements

  • Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.
  • 7+ years of experience in software development, simulation, or embedded systems.
  • Strong programming skills in Python, C++, C#, or Java.
  • Experience with simulation or virtualization, including vECUs, FMUs, or SIL.
  • Understanding of cloud services, distributed systems, databases, and CLI-based tool architecture.
  • Immigration-related sponsorship is not provided; candidates must not require GM immigration sponsorship now or in the future.

Nice to have

  • Experience with microservices, Kubernetes, and performance tuning for simulation or AI pipelines.
  • Experience with automotive data and domain modeling.
  • Knowledge of ontology-based engineering processes, architecture frameworks, OWL, RDF, SPARQL, and automated reasoning.
  • Knowledge of ML lifecycle basics, vector search or embeddings, and model integration.

Culture & Benefits

  • Paid time off, holidays, and supplemental pregnancy, parental, and adoption leave benefits.
  • Healthcare, dental, and vision coverage.
  • Life insurance plans.
  • Defined Contribution Pension plan with company matching contributions.
  • GM Vehicle Purchase Plan for employees and their families.

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