Senior Software Engineer

GM•Mountain View, CA

13h•$134,000 - $241,900•Hybrid

About The Position

This role is categorized as hybrid. This means the successful candidate is expected to 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]. The Role As an engineer in the Autonomous Vehicle Data Platforms (AVDP) Data Engineering team, you will architect & automate end-2-end data processing and data management lifecycle on Cloud Platforms (GCP/Azure). You will collaborate with cross functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Operations etc.,) to capture requirements and build a robust data platform. You will perform data analysis, build data pipelines and build canonical datasets and domain data models to empower users to make data driven business decisions.

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, dat a lakehou se
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

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 .
Building Data Pipelines: The team constructs and manages data pipelines that perform aggregations, enrichments, and feature engineering on raw data, making it easier for analysts and data scientists to work with.
Topline Metrics : O wn the data pipelines that calculate the company’s topline KPIs, collaborating closely with AV PMs and Operations teams.
Data Governance: Ensuring data governance and stewardship, including data quality monitoring and building a data catalog for AV Datasets .
Support for Data Science Teams: Assisting 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

Benefits

GM offers a variety of health and wellbeing benefit programs.
Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

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