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

General Motors Company; United States; Remote; USD 160.000 - 246.000; Vollzeit

Benefits dieser Stelle

Health benefits

GM vehicle discounts

Total Rewards resources

Zusammenfassung

General Motors is seeking a skilled AV Safety Data Analyst to join the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) team. You will collaborate with engineering, operations, and safety groups to analyze large-scale time-series data and investigate potential autonomous driving issues.

You will apply signal processing on telemetry and event data and report findings to partner teams. A strong background in engineering data analysis, Python, SQL, and ROS logs is required,

Qualifikationen

• 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, including 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 the ability to work effectively in fast‑moving, ambiguous, and highly iterative investigations.
• Strong communication and collaboration skills, with the ability to craft fact‑based reports through individual and collaborative work across safety, operations, human factors, data engineering, and emerging‑issues teams.

Aufgaben

• 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 behavior and system performance.

Kenntnisse

Time-series analysis

Data analysis

Root-cause analysis

Communication

Collaboration

Problem-solving

Engineering judgment

Ausbildung

Engineering/Physics/Mathematics degree

Tools

Python

SQL

ROS

Jobbeschreibung

Job 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.

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 behavior and system performance.

Your Skills & Abilities (Required Qualifications)

• 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, including 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 the ability to work effectively in fast‑moving, ambiguous, and highly iterative investigations.
• Strong communication and collaboration skills, with the ability to craft fact‑based reports through individual and collaborative work across safety, operations, human factors, data engineering, and emerging‑issues teams.

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience in autonomous vehicles, advanced driver‑assistanc 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 working 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.

Company Vehicle

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Compensation

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary range for this role is $160,200 - 246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

• GM offers a variety of health and wellbeing benefit programs.
• Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
• GM does not provide immigration‑related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J‑1, etc).

Remote

This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel <25% for this role. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

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