обновлено 1 день назад
Senior Software Developer (AI)
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
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.
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