Safety Data Analysis Engineer – AV Operational Safety, Issue Response

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $129.4k - $198.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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General Motors

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1908

🚘 Automotive

🏭 Manufacturing

🚗 Transport

💰 $500M Grant on 2024-07

Automotive • Manufacturing • Transport

General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.

📋 Description

• 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

• 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

• 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