Senior ML & AI Engineer — AV Analytics & Frameworks

General Motors; San Francisco; Híbrido; VES 105.134.000 - 161.695.000; Jornada completa

Descripción de la vacante

General Motors is seeking an AI/ML Engineer on the Metrics Frameworks team to build analytics frameworks and tools accelerating autonomous vehicle development, testing and deployment. You will develop scalable infrastructure and shared libraries used across engineering teams to create quantitative analysis pipelines and metrics.

Ideal candidates have 5+ years in industry, strong Python and C++ production experience, and familiarity with ROS, Pandas, and visualization libraries.

Formación

• BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering.
• 5+ years of industry experience.
• Experience writing Python and C++ in production environments.

Responsabilidades

• Create tooling to receive signals from various sources and build quantitative analysis pipelines.
• Design scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring.
• Design and implement extensible, well-tested shared libraries for engineers across the organization.
• Collaborate with frameworks and data infra teams to deploy productivity tools.
• Work with autonomous vehicle engineering for rapid development and model feedback.
• Maintain high technical standards through architecture design and code reviews.

Conocimientos

Scalable software

Python/C++ production

Automation scripting

Communication

5+ years experience

Educación

BS in Computer Science/Engineering

Herramientas

ROS

Pandas

Python bindings for C++

Plotting/visualization libraries

AirTable/AirFlow/DBT

Descripción del empleo

General Motors is seeking an AI/ML Engineer on the Metrics Frameworks team to build analytics frameworks and tools accelerating autonomous vehicle development, testing and deployment. You will develop scalable infrastructure and shared libraries used across engineering teams to create quantitative analysis pipelines and metrics.

Ideal candidates have 5+ years in industry, strong Python and C++ production experience, and familiarity with ROS, Pandas, and visualization libraries.