AV Safety Engineering Analytics Engineer (GPSSC)

Job Description

Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum.

The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM's Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trustworthy automated-driving products. As the central authority for automated driving system (ADS) safety, SAFE-ADS 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 AV Safety Analytics Engineer with capabilities at the intersection of automotive engineering, data science and cloud processing.

The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations.

If you're passionate about the benefits of autonomous vehicle technology, committed to advancing safety through innovation, and love channeling big data into clear guidance, this role offers exciting opportunities to make a meaningful impact on the future of transportation safety in a dynamic and fun environment.

As part of the AV Safety Engineering Analytics team, you will work closely with cross-functional partners and internal customers to prototype, define, and productionize performance metrics and sufficiency criteria. You will engage deeply with stakeholders to understand their challenges and needs, collaborate to develop solutions.

What You'll Do

• Developdata analyticsinfrastructurethatsupportssafety assuranceanalytics addressing internal and external stakeholder needsacross the phases of automated vehicledevelopmentand deployment, including bothreal-world and simulation data.

• Develop interactive visualizations in support ofenhancing transparency and reduction in barriers to source data interrogation.

• Pilot and definemetricsfor monitoringofdevelopment operations anddeployment, andestablish sufficiency criteria forlaunch readiness.

• Identifyrelevant data for supporting safety monitoring andthedevelopment ofa reliable supply chain of continuously flowing data from a variety of sources(internal and external)tosupport safety assurance related activities.

• Developcloud-basedcontinuous up-timeanalytics pipelinesthat manage data fromaraw form, throughanalyses, and into browser based interactive visualizations andperiodic reporting artifacts.

• Selectappropriate engineering- and physics-basedsignal processing, sampling, filtering, smoothingetcto prepare raw signals foranalysesand/or storage in a down sampled form.

• Integrate and transformdata streams to construct physically meaningful representation of vehicle motion,driving context, and intermediate system performance, including reduction of time-series representations tofeatures.

• Apply engineering domainexpertisetodistinguisherroneoussensor data from real outliers.

• Optimize code forefficiencyand package for automated cloud-based execution

Your Skills & Abilities (Required Qualifications *)*

• Bachelor'sdegree in Computer Science,MechanicalEngineering,Vehicle Engineering,Physics, or a related field; or equivalent practical experience

• 5+years of experiencein large scale data analyses of human and/or automated driving performance related data

• 5+ years inADAS,autonomous vehicles,roboticsor related field

• Experience in the following:

• Programming & Frameworks :Python, SQL

• Cloud & Big Data: Extensive experience incloud-based large scale process including notifications, queuing, serverless cloud functions, event driven processing, code as infrastructure, containerization, process monitoring, process optimization, identity and access management, service to service access, etc.

• Statistics: Working familiarity with descriptive statistics, managing bias in large data mining activities, experimental design, samplingstrategies.

• Dev Ops and Infrastructure as Code *: * CI/CD, versioning, Docker & Kubernetes, GitHub, Jira, Jenkins, Poetry, Terraform

• Data Analysis & Visualization : Tableau,PowerBI,Plotly/Dash, Shiny,Pandas, NumPy

• Proventrack recordprovidinglarge scale and continuous analyticsdevelopmentand deployment

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment

• Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give You A * * Competitive Edge (Preferred qualifications)

• Experience in processing and analyses of large-scalevehicle motion and context relateddata to characterize driving performance

• Record of involvement in vehicle safety relateddiscourse through conference participation or publications.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

#LI-SA2

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).

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.

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