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Senior Software Engineer

  • [Location]
    • Austin, Texas
    • Bellevue, Washington
    • Mountain View, California
  • 日程 Full time
  • 发表
  • Job Requisition JR-202508982

描述

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.

What You’ll Do

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. Specifically, you will contribute towards: 

  • 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: Own 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 

[Additional Description]

Your Skills & Abilities (Required Qualifications)

  • 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 

This job may be eligible for relocation benefits.

Compensation: 

  • The expected base compensation for this role is: $134,000 - $241,900. 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. 
  • 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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Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.