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Safety Data Analysis Engineer - AV Operational Safety and Issue Response (GPSSC)

Analisis data keamanan kendaraan autonom untuk GM

Anda akan bekerja di tim Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) di General Motors. Tanggung jawab utama adalah melakukan analisis data untuk mendukung keamanan operasi kendaraan autonom. Anda akan menggunakan keterampilan data untuk mengidentifikasi dan menginvestigasi masalah potensial, serta mengembangkan bukti yang mendukung keputusan keamanan.

Kenapa Menarik?

Dapatkan pengalaman langsung dalam menganalisis data skala besar untuk keamanan kendaraan autonom di General Motors.

Tanggung Jawab Utama

  • Mengidentifikasi dan menginvestigasi masalah potensial pada kendaraan autonom
  • Mengorganisir data terkait dengan insiden untuk mendukung analisis keamanan
  • Mengembangkan bukti yang mendukung keputusan keamanan operasi kendaraan autonom
  • Mengintegrasikan dan menganalisis data besar untuk mendukung keputusan keamanan
  • Membantu mengembangkan metode analisis dan deteksi masalah yang dapat digunakan ulang

Persyaratan

  • Pengalaman dalam analisis data dan keamanan sistem
  • Kemampuan untuk mengintegrasikan dan menganalisis data besar
  • Keterampilan dalam mengembangkan metode analisis yang dapat digunakan ulang
  • Pengalaman dalam bidang keamanan kendaraan autonom
  • Kemampuan untuk bekerja secara kolaboratif dengan tim lainnya

Skills Wajib

data analysissafety engineeringdata integrationissue investigationautonomous vehicles

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Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM's Global Product Safety, System, and Certification organization. Our mission is to help GM deliver trustworthy automated-driving products. As the central authority for automated-driving system safety, the department brings together experts from across the company to develop and maintain a comprehensive safety case, including safety performance indicators for GM's automated-driving technologies. GM's vision is zero crashes, zero emissions, and zero congestion, and autonomous vehicle safety is essential to achieving that vision. The Role The AV Safety Engineering Analytics team is seeking an experienced Safety Data Analysis Engineer to provide engineering support for AV Operational Safety and Issue Response. This is a safety engineering role focused on data-driven issue response and investigation. You will combine engineering judgment, safety analysis, and strong data skills to investigate potential issues, organize event-related data, and develop evidence that supports AV Safety Assurance and AV Operational Safety decisions. The role is designed for an engineer who is highly proficient in navigating, integrating, designing, and analyzing large-scale data. You will support rapid, highly iterative investigations involving specific vehicles, locations, software releases, event sequences, operational conditions, and other issue-relevant dimensions. The scale of AV operations, including potential issues, actual events, readiness drills, and ongoing software releases, creates a need for rapid, detailed, event-driven analyses. At the same time, you will help convert repeatable investigation patterns into reusable analytics and issue-detection methods. What You'll Do Respond collaboratively to AV Safety Strategy and Assurance and AV Operations requests for potential issue-specific analyses, event-related data organization, and root-cause investigations. Collaborate with Engineering, Operations, and Safety teams to investigate potential AV issues and conduct root-cause analyses. Translate investigation needs into clear analysis requirements, data requirements, analytical designs, and execution plans in collaboration with requesting teams. Establish and support rapid incident-response and targeted-analysis capabilities that leverage standing data pipelines as well as unique issue- and incident-relevant data sources. Integrate vehicle telemetry, time-series signals, event and incident records, readiness-drill data, software-release information, location and operational context, and other relevant sources into analysis-ready datasets. Distinguish data-quality, sensor, instrumentation, and pipeline issues from meaningful operational outliers using engineering judgment and data validation methods. Deliver concise, technically rigorous analysis findings, readouts, and evidence that help partner teams assess potential operations safety issues and determine appropriate next steps. Identify investigation workflows that can be generalized into reusable metrics, detection methods, pipelines, or analysis tooling without losing the flexibility required for issue investigation. Apply engineering and physics-based methods, including signal decomposition, filtering, smoothing, sampling, and feature construction, to transform noisy signals into physically meaningful representations of vehicle

Konteks Gaji

Posisi Engineering serupa di LokerDollar dibayar sekitar $170k/yr (kisaran $855–1000k/yr, dari 778 listing aktif).

Perekrutan di General Motors

General Motors punya 6 lowongan aktif lain di LokerDollar dan telah merekrut di sini sejak 7 Mei 2026 — di kategori Engineering, Operations.

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Perusahaan
General Motors
Sumber
Tipe Lowongan
full time
Lokasi
Remote · Detroit, USA
Kategori
Level
mid
DipostingNewBaru & terverifikasi
4 Sep 2026

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Ya. Safety Data Analysis Engineer - AV Operational Safety and Issue Response (GPSSC) di General Motors adalah posisi remote yang terbuka untuk kandidat di seluruh dunia.
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