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General Motors
General Motors
H1B vizos rėmėjasAutomobilių pramonėGamybaTransportas
„General Motors“ yra pasaulinė automobilių ir gamybos įmonė, veikianti transporto priemonių inžinerijos, gamybos, transportavimo ir informacinių technologijų srityse. 1908 m. įkurta GM kuria technologijas, skirtas pažangiam mobilumui, kartu siekdama įgyvendinti savo viziją apie nulį avarijų, nulį išmetamųjų teršalų ir nulį spūsčių. Tarptautinė įmonės veikla suburia dideles daugiadalykes komandas, daugiausia dėmesio skiriančias inovacijoms, tvariam transportui ir automobilių pramonės ateičiai.
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Darbai įmonėje

Senior Manager, Motorsports Data Engineering

Lead General Motors’ Motorsports data infrastructure, analytics, and AI/ML platforms. Turn telemetry and race data into tools for engineers and strategists across major racing programs.

USJungtinės ValstijosNCŠiaurės KarolinaNuotolinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinierius
AzureDebesijaPythonSparkSQLTerraformUnityVault

Aprašymas

  • Lead managers and teams across Motorsports data infrastructure and data science.
  • Bring data engineering, software, and data science together under a shared roadmap and operating model.
  • Design pipelines and platforms, prototype ML and generative AI solutions, review code, and resolve critical issues during race weekends.
  • Set the motorsports data platform roadmap for ingestion, streaming, lakehouse architecture, governance, and AI/ML enablement.
  • Connect real-time and batch pipelines processing telemetry, timing and scoring, and trackside data.
  • Move ML models into production across race programs using MLflow-based MLOps.
  • Expand the use of AI coding tools, assistant platforms, and strong software development practices.
  • Establish engineering standards for CI/CD, Terraform, automated testing, data quality, observability, and SLOs.
  • Secure competition-sensitive data with access controls and intellectual property safeguards.
  • Oversee Azure and Databricks costs and capacity, along with vendor and partner relationships.
  • Share strategy, progress, and trade-offs with Motorsports and GM senior leaders.
  • Work with Competition Engineering, Vehicle Performance, Race Strategy, and technical partners to deliver customer-facing features.

Reikalavimai

  • Bachelor’s degree in computer science, engineering, data science, or a related discipline.
  • At least 10 years in data engineering, software engineering, or data science, delivering production distributed data platforms.
  • At least 5 years leading engineering or data science teams, including managing managers, while staying technically hands-on.
  • Advanced knowledge of Azure Databricks, including Spark, Delta Lake, Unity Catalog, Workflows, and DLT.
  • Expertise with Azure data services such as ADLS, Event Hubs, AKS, and Key Vault.
  • Demonstrated success putting ML and AI into production, covering feature engineering, model lifecycle, MLOps, and monitoring.
  • Experience with real-time streaming and high-frequency time-series data.
  • Strong Python and SQL skills.
  • Experience with CI/CD, Git, and infrastructure as code.
  • Able to deliver against demanding deadlines and explain complex subjects to engineering and executive audiences.
  • GM does not offer immigration sponsorship for this position; candidates must not need GM sponsorship now or in the future.
  • Preferred: Leadership experience across both software or data engineering and data science.
  • Preferred: Background with motorsports, automotive, or high-performance engineering data.
  • Preferred: Familiarity with Databricks AI features such as Mosaic AI, Vector Search, Feature Store, Model Serving, and Genie.
  • Preferred: Experience building generative AI or LLM applications, including RAG, agents, and evaluation.
  • Preferred: Experience with cloud architectures designed for low latency or limited bandwidth.
  • Preferred: Experience launching new programs or growing teams quickly.

Privalumai

  • Relocation assistance may be available to candidates who meet company policy criteria.
  • Programs and resources support employee well-being at work and at home.
  • Reasonable accommodations are available for applicants with disabilities.

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