Назад
Company hidden
обновлено 1 день назад

Senior Software Developer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Software Developer (AI) (simulation and virtualization): Building backend services, APIs, and automation tools for virtual ECUs, SIL workflows, and AI-enhanced simulation capabilities with an accent on embedded systems, distributed services, and compute-intensive workloads. Focus on integrating AI/ML components, designing simulation orchestration architecture, optimizing performance, and supporting CI/CD pipelines.

Location: Hybrid, with reporting to a specific location at least 3 times per week in Milford or Warren, Michigan. Travel required up to 25%. Relocation benefits may be available.

Company

hirify.global develops automotive technologies and software-defined vehicle systems focused on safer, cleaner, and more connected transportation.

What you will do

  • Develop backend services for virtual ECUs, simulation orchestration, and model execution.
  • Build SIL workflow tools for scenario execution, data capture, and automation.
  • Integrate AI and machine learning 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 reliable integration.

Requirements

  • Bachelor’s degree or higher in Engineering, Computer Science, or a related field.
  • 7+ years of relevant 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.
  • Knowledge of MCP-based architecture for AI tools design.

Nice to have

  • ML lifecycle fundamentals, vector search or embeddings, and model integration experience.
  • Microservices, Kubernetes, and performance tuning experience.
  • Automotive data and domain modeling experience.
  • Knowledge of ontology-based engineering processes, architecture frameworks, OWL, RDF, SPARQL, and automated reasoning.

Culture & Benefits

  • Work within GM’s Virtualization and SIL Integration organization.
  • Collaborate across engineering, calibration, verification, DevOps, and simulation teams.
  • Benefits and total rewards are available from the first day of employment.
  • Inclusive workplace focused on belonging and equal employment opportunity.

Hiring process

  • Role-related assessments and pre-employment screening may be required.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →