Safety Data Analysis Engineer – AV Operational Safety, Issue Response

General Motors

Safety Data Analysis Engineer investigating autonomous-vehicle issues for General Motors’ autonomous-driving safety organization. Integrating telemetry and time-series data to support root-cause analysis and safety decisions.

Posted 9/3/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $129,400 - $198,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing large-scale time-series and telemetry data, applying engineering and physics-based methods for signal processing, and delivering actionable insights for autonomous vehicle safety. Proficient in collaborating across multidisciplinary teams to develop scalable analytical methods and communicate findings effectively.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyTime-Series AnalysisRoot-Cause AnalysisRobot Operating System (ROS) Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Signal DecompositionFilteringSmoothingSamplingFeature ConstructionData ValidationAnalytical DesignData Pipeline IntegrationSafety Performance IndicatorsAnomaly Detection

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

BigQueryCloud-Based Data PlatformsDockerKubernetesGitHub

Industry Keywords

Autonomous VehiclesAdvanced Driver-Assistance SystemsRoboticsTransportation SafetySafety Analytics

Tech Stack

Tools & technologies

BigQueryC++CloudDockerKubernetesPythonSQL

About the role

Key responsibilities & impact

Provide engineering support for AV Operational Safety and Issue Response
Respond collaboratively to AV Safety Strategy and Assurance and AV Operations requests for 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 analysis requirements, data requirements, analytical designs, and execution plans
Establish and support rapid incident-response and targeted-analysis capabilities using standing data pipelines and 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 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 to help assess operations safety issues and determine next steps
Identify investigation workflows that can become reusable metrics, detection methods, pipelines, or analysis tooling
Apply engineering and physics-based methods, including signal decomposition, filtering, smoothing, sampling, and feature construction, to transform noisy signals into meaningful representations of vehicle behavior and system performance

Requirements

What you’ll need

Bachelor’s degree in engineering, physics, applied mathematics, or a related physical science
5+ years of relevant professional experience analyzing large-scale time-series, telemetry, vehicle, robotics, or other engineering data
Experience working with Robot Operating System (ROS) logs
Strong working knowledge of Python and SQL
Experience with time-series analysis, including signal decomposition, filtering, smoothing, sampling, feature construction, or related signal-processing methods
Experience designing and executing ad hoc analyses while recognizing opportunities to develop scalable, repeatable analytical methods
Experience gathering analytical requirements, defining data needs, selecting appropriate methods, and communicating findings to partner teams
Strong problem-solving skills and ability to work effectively in fast-moving, ambiguous, and highly iterative investigations
Strong communication and collaboration skills
Ability to craft fact-based reports through individual and collaborative work across safety, operations, human factors, data engineering, and emerging-issues teams
Experience in autonomous vehicles, advanced driver-assistance systems, robotics, transportation safety, or a related domain
Experience performing AV- or SDV-specific issue detection, anomaly detection, event investigation, or root-cause analysis
Experience analyzing large-scale vehicle motion, driving context, automated-driving performance, or operational data
Experience developing safety performance indicators, safety monitoring methods, or evidence used in safety assurance and operations decisions
Experience with cloud-based data platforms, distributed processing, or large-scale analytics workflows
Experience with BigQuery or comparable cloud data platforms
Familiarity with C++ or C++-based robotics and vehicle software environments
Experience with Docker, Kubernetes, GitHub, CI/CD, version control, or related software-development workflows
Experience collaborating with human-factors, operations, systems, validation, verification, or safety-assurance teams
Publications, conference participation, or other demonstrated engagement in vehicle safety, robotics safety, safety analytics, or related technical work
Must not require GM immigration sponsorship now or in the future
Must be able to work in the United States

Benefits

Comp & perks

Incentive pay program with payouts based on company performance, job level, and individual performance
Medical insurance
Dental insurance
Vision insurance
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Remote work arrangement
Travel requirement below 25%
No relocation benefits; relocation costs are the selected candidate’s responsibility