Senior Data Engineer, Automotive SDV & Telemetry

General Motors Company; Mountain View (WY); Hybride; USD 230 000 - 281 000; Plein temps

Avantages offerts par ce poste

Hybrid work

Performance bonus

Résumé du poste

General Motors is seeking a data-focused engineer to work on 12V/HV battery data, safety systems, and SDV initiatives. The role focuses on building diagnostic algorithms, leveraging big data databases, and performing advanced analytics to influence vehicle programs and warranty outcomes.

The candidate will design and maintain AI/ML models, analytics dashboards, and data pipelines, collaborating across teams in a hybrid environment with limited travel.

Qualifications

• Bachelor-level degree in a technical field with several years of data engineering or software experience.
• Master's preferred with relevant automotive/SDV context is beneficial.
• Experience in big data tools, cloud platforms, and analytics databases.

Responsabilités

• Develop telemetry diagnostic and prognostic algorithms for vehicle systems.
• Utilize databases to store and manage big data.
• Analyze data to drive pattern recognition and decision making.
• Design, manage and maintain AI/ML models and analytical dashboards.
• Propose and architect new data solutions within GM's big data stack.
• Travel up to 10% domestically; collaborate in a hybrid in-office/remote setting.

Connaissances

Big data analytics

Python/R

C++

Java

SQL

Machine learning/AI

Data warehousing

Problem solving

Formation

Bachelor's degree in Data Science / Computer Engineering / Electrical Engineering / Computer Science / Software Engineering

Master's degree in Data Science / Computer Engineering / Electrical Engineering / Computer Science / Software Engineering

Outils

Azure Databricks

PowerBI

Tableau

NeoVI

VDR

Git / Version Control

IDE tools

Description du poste

General Motors is seeking a data-focused engineer to work on 12V/HV battery data, safety systems, and SDV initiatives. The role focuses on building diagnostic algorithms, leveraging big data databases, and performing advanced analytics to influence vehicle programs and warranty outcomes.

The candidate will design and maintain AI/ML models, analytics dashboards, and data pipelines, collaborating across teams in a hybrid environment with limited travel.