Senior Software Engineer at General Motors

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Autonomous VehiclesIndustries

Requirements

Experience building PB scale data management systems (datalake, data warehouse) from the ground up
Experience building and optimizing data pipelines and associated infrastructure for cost efficiency, scale and performance
10+ years working with big data, python, ETL/ELT, data modeling, SQL, data warehousing, data lake, data lakehouse
Strong proficiency in writing SQL for analytic purposes
BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience
Passionate about self-driving technology and its potential impact on the world
Attention to detail and a passion for seeking truth
A track record of efficiently solving complex problems
Startup mentality - openness to dealing with unknown and wearing many hats

Responsibilities

Architect & automate end-to-end data processing and data management lifecycle on Cloud Platforms (GCP/Azure)
Collaborate with cross functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Operations etc.) to capture requirements and build a robust data platform
Perform data analysis, build data pipelines and build canonical datasets and domain data models to empower users to make data driven business decisions
Own technical projects from start to finish, contribute to the team’s product roadmap, and be responsible for major technical decisions and tradeoffs
Effectively participate in team planning, code reviews and design discussions
Build data pipelines that perform aggregations, enrichments, and feature engineering on raw data
Own the data pipelines that calculate the company’s topline KPIs, collaborating closely with AV PMs and Operations teams
Ensure data governance and stewardship, including data quality monitoring and building a data catalog for AV Datasets
Assist data science teams with delivering their projects by building feature sets and optimizing production code
Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud
Champion engineering excellence by continuously improving systems and processes
Consider the effects of projects across multiple teams and proactively manage conflicts
Work together with partner teams and orgs to achieve cross-organizational goals and satisfy broad requirements
Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities
Effectively onboard and mentor junior engineers and/or interns
Report to offices in Austin, TX, Mountain View, CA or the Greater Seattle Area three times per week, at minimum (or other frequency dictated by the business if more than 3 days)

Skills

GCP

Azure

Data Pipelines

Feature Engineering

Data Governance

Data Quality Monitoring

Data Catalog

Scalable Distributed Systems

Cloud Platforms

ETL

Data Processing

Data Management

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees