Build and manage large-scale automotive data infrastructure, telemetry pipelines, analytical models, dashboards, and AI/ML solutions. Analyze battery, vehicle electronics, warranty, and diagnostic data to identify patterns, resolve issues, and support vehicle program decisions. Architect Azure Databricks lakehouse solutions, develop diagnostic and prognostic algorithms, automate root-cause analysis, and maintain production software and reporting systems.
Description
DUTIES: Build expertise in data related to 12V and HV batteries, Power Modes, Vehicle Cockpit Unit, Active and Passive Safety, Body Electronics as GM transitions to Software Defined Vehicles (SDV) with a goal to provide immediate impact to drive vehicle program level decisions, detect and resolve warranty issues and benefit the company's bottom line. Develop next generation vehicle telemetry related diagnostic and prognostic algorithms, utilize databases to house big data, analyze big data to drive pattern recognition, and advanced algorithm and model development. Research, propose, and architect new solutions with the company's Big data infrastructure and tools to build automation to find, root cause and show impact analysis of issues. Design, manage, and maintain models (Heuristics based and AI/ML), software, analytical cubes, analytical reports/dashboards. 10% domestic travel required. Hybrid Work Policy - 3 days In-office, 2 days remote - Must be able to report to local office.
REQUIREMENTS : Bachelor's degree in Data Science, Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or related field of study and Five (5) years of experience as a Data Engineer, Data Analyst, Software Engineer, or related occupation OR Master's degree in Data Science, Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or related field of study and Three (3) years of experience as a Data Engineer, Data Analyst, Software Engineer, or related occupation. Three (3) years of experience with: Microsoft Excel and Excel-based Visual Basic programming language; Python/R and programming languages including C++, C#, Java, and MATLAB; Software development lifecycle and standard tools including IDEs and Version Control; and Developing products and maintaining them in production. Two (2) years of experience with: Azure Cloud Platform and Databricks; Statistical analysis and modelling using big data; Visualization tools including PowerBI and Tableau; GenAI and LLMs in the automotive industry to automate product health management; 12V and HV battery, vehicle mechatronics and vehicle architectures including software defined vehicles; Large automotive datasets including vehicle telemetry data from vehicle mechatronics, vehicle test tool (NeoVI, VDR) data, Vehicle Management and warranty data for building AI/ML models, automation and visualization tools; and Designing and optimizing large scale, cloud native data pipelines and lakehouse architectures on Azure Databricks-spanning Spark-based ETL/ELT, real time vehicle telemetry processing, data modeling, quality frameworks, visualization, LLM/AI integration, performance tuning, and CI/CD automation-to support high volume automotive analytics and enterprise reporting.
Compensation:
• The expected base compensation for this role is $255,757.00 to $255,757.00 Annually.
• Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-DNI
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
DUTIES: Build expertise in data related to 12V and HV batteries, Power Modes, Vehicle Cockpit Unit, Active and Passive Safety, Body Electronics as GM transitions to Software Defined Vehicles (SDV) with a goal to provide immediate impact to drive vehicle program level decisions, detect and resolve warranty issues and benefit the company's bottom line. Develop next generation vehicle telemetry related diagnostic and prognostic algorithms, utilize databases to house big data, analyze big data to drive pattern recognition, and advanced algorithm and model development. Research, propose, and architect new solutions with the company's Big data infrastructure and tools to build automation to find, root cause and show impact analysis of issues. Design, manage, and maintain models (Heuristics based and AI/ML), software, analytical cubes, analytical reports/dashboards. 10% domestic travel required. Hybrid Work Policy - 3 days In-office, 2 days remote - Must be able to report to local office.
REQUIREMENTS : Bachelor's degree in Data Science, Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or related field of study and Five (5) years of experience as a Data Engineer, Data Analyst, Software Engineer, or related occupation OR Master's degree in Data Science, Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or related field of study and Three (3) years of experience as a Data Engineer, Data Analyst, Software Engineer, or related occupation. Three (3) years of experience with: Microsoft Excel and Excel-based Visual Basic programming language; Python/R and programming languages including C++, C#, Java, and MATLAB; Software development lifecycle and standard tools including IDEs and Version Control; and Developing products and maintaining them in production. Two (2) years of experience with: Azure Cloud Platform and Databricks; Statistical analysis and modelling using big data; Visualization tools including PowerBI and Tableau; GenAI and LLMs in the automotive industry to automate product health management; 12V and HV battery, vehicle mechatronics and vehicle architectures including software defined vehicles; Large automotive datasets including vehicle telemetry data from vehicle mechatronics, vehicle test tool (NeoVI, VDR) data, Vehicle Management and warranty data for building AI/ML models, automation and visualization tools; and Designing and optimizing large scale, cloud native data pipelines and lakehouse architectures on Azure Databricks-spanning Spark-based ETL/ELT, real time vehicle telemetry processing, data modeling, quality frameworks, visualization, LLM/AI integration, performance tuning, and CI/CD automation-to support high volume automotive analytics and enterprise reporting.
Compensation:
• The expected base compensation for this role is $255,757.00 to $255,757.00 Annually.
• Actual base compensation within the identified range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
#LI-DNI
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
General Motors Los Angeles, California, USA Office
Los Angeles, CA, United States
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