AV Safety Engineering Analytics Engineer (GPSSC)

General Motors

Olympia, WA

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JOB DETAILS

SKILLS

Analysis Skills, Atlassian JIRA, Audiovisual, Automotive Automation, Automotive Engineering, Autonomous Driving Systems, Autoscaling, Big Data, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Data Mining, Data Science, Data Visualization, Docker, Driver's License, Equal Employment Opportunity (EEO), Experiment Design, Federal Government, GitHub, Government, Identity Data Management, Jenkins, Needs Assessment, Oracle SQLPlus, Performance Metrics, Physics, Power BI, Problem Solving Skills, Process Improvement, Product Development, Product Safety, Prototyping, Publications, Python Programming/Scripting Language, Safety Engineering, Safety Systems, Simulation, Statistics, Supply Chain, Tableau, Team Player, Time Management, Web Browsers, Willing to Travel

LOCATION

Olympia, WA

POSTED

Today

**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. **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. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (https://search-careers.gm.com/en/working-at-gm/total-rewards) . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (https://search-careers.gm.com/en/how-we-hire) . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (https://search-careers.gm.com/en/working-at-gm/)** **Our Culture** **How we hire (https://search-careers.gm.com/en/how-we-hire/)** Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (https://search-careers.gm.com/en/locations/) We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (https://flows.beamery.com/generalmotors/talcom) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

About the Company

General Motors

INDUSTRY

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