Safety Data Analysis Engineer – AV Operational Safety and Issue Response

General Motors

. Provide engineering support for AV Operational Safety and Issue Response .

Posted 10/27/2026full-timeRemote • United StatesMid-LevelSenior💰 $160,200 - $246,300 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 collaborating effectively across multidisciplinary teams to enhance AV operational safety. Proficient in developing scalable analytical methods and communicating findings to support safety assurance and operational decisions.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyTime-Series AnalysisSignal DecompositionRobot Operating System (ROS) Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisFeature ConstructionFilteringSmoothingSamplingAd Hoc AnalysisAnalytical Method DevelopmentRoot-Cause AnalysisAnomaly DetectionOperational Data Analysis

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

BigQueryCloud Data PlatformsDockerKubernetesGitHubCI/CD

Industry Keywords

Autonomous VehiclesAdvanced Driver-Assistance SystemsRoboticsTransportation SafetySafety Performance Indicators

Tech Stack

Tools & technologies

BigQueryCloudDockerKubernetesPythonSQLC++

About the role

Key responsibilities & impact

Provide engineering support for AV Operational Safety and Issue Response
Respond 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
Translate investigation needs into analysis requirements, data requirements, analytical designs, and execution plans
Establish rapid incident-response and targeted-analysis capabilities using standing pipelines and unique issue- or incident-relevant data sources
Integrate vehicle telemetry, time-series signals, event and incident records, readiness-drill data, software-release information, location, and operational context into analysis-ready datasets
Distinguish data-quality, sensor, instrumentation, and pipeline issues from meaningful operational outliers
Deliver technically rigorous analysis findings, readouts, and evidence supporting AV Safety Assurance and Operational Safety decisions
Generalize repeatable investigation workflows into reusable metrics, detection methods, pipelines, or analysis tooling
Apply engineering and physics-based methods such as signal decomposition, filtering, smoothing, sampling, and feature construction to noisy signals

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, and feature construction
Experience designing and executing ad hoc analyses and developing scalable, repeatable analytical methods
Experience gathering analytical requirements, defining data needs, selecting appropriate methods, and communicating findings
Strong problem-solving skills in fast-moving, ambiguous, and highly iterative investigations
Strong communication and collaboration skills across safety, operations, human factors, data engineering, and emerging-issues teams
Preferred: experience in autonomous vehicles, advanced driver-assistance systems, robotics, transportation safety, or related domains
Preferred: AV/SDV issue detection, anomaly detection, event investigation, or root-cause analysis experience
Preferred: vehicle motion, driving context, automated-driving performance, or operational data analysis experience
Preferred: safety performance indicators, safety monitoring methods, or safety-assurance evidence experience
Preferred: cloud-based data platforms, distributed processing, or large-scale analytics workflows
Preferred: BigQuery or comparable cloud data platform experience
Preferred: familiarity with C++ or C++-based robotics and vehicle software environments
Preferred: Docker, Kubernetes, GitHub, CI/CD, version control, or related software-development workflow experience
Preferred: collaboration with human-factors, operations, systems, validation, verification, or safety-assurance teams
Preferred: publications, conference participation, or demonstrated engagement in vehicle safety, robotics safety, safety analytics, or related technical work
Must not require GM immigration sponsorship now or in the future
Required to travel less than 25%

Benefits

Comp & perks

Bonus potential through an incentive pay program based on company, job-level, and individual performance
Medical, dental, and vision benefits
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
Company vehicle evaluation program, subject to successful motor vehicle report review
Remote work within the country of work
No relocation benefits; relocation costs are the selected candidate’s responsibility