AV Safety Engineering Analytics Engineer (GPSSC) job opportunity at General Motors.



DatePosted 5 Days Ago bot
General Motors AV Safety Engineering Analytics Engineer (GPSSC)
Experience: General
Pattern: Remote
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degreeBachelor's (B.A.)
loacation Remote - United States, United States Of America
loacation Remote - Unite..........United States Of America

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 auto mated   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 processin g.      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 b ear   in AV safety related decision making .   T his team   will   maintain   proficiency   integrating   continuously flowing data from vehicle   systems , company   databases,   third - party   service s ,   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 ,   th is   role offer s   exciting opportunit ies   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 Develop   data analytics   infrastructur e   that   support s   safety assurance   analytics addressing internal and external stakeholder needs   across the phases of automated vehicle   development   and deployment , including both   real-world and simulation data .     Develop interactive visualizations in support of   enhancing transparency and reduction in barriers to source data interrogation.   Pilot and define   metrics   for monitoring   of   development operations and   deployment, and   establis h sufficiency criteria for   launch readiness.   Identify   relevant data for supporting safety monitoring and   the   development of   a reliable supply chain of continuously flowing data from a variety of sources   (internal and external)   to   support safety assurance related activities .   Develop   cloud-based   continuous up-time   analytics pipeline s   that manage data from   a   raw form, through   analyses , and into browser based interactive visualizations and   periodic reporting artifacts.   Select   appropriate engineering- and physics-based   signal processing, sampling, filtering, smoothing   etc   to prepare raw signals for   analyses   and/or storage in a down sampled form.   Integrate and transform   data streams to construct physically meaningful representation of vehicle motion,   driving context, and intermediate system performance , including reduction of time-series representations to   features.   Apply engineering domain   expertise   to   distinguish   erroneous   sensor data from real outliers.   Optimize code for   efficiency   and package for automated cloud-based execution     Your Skills & Abilities   (Required   Qualifications )   Bachelor ’s   degree in Computer Science ,   Mechanical   Engineering,   Vehicle Engineering,   Physics, or a related field; or equivalent practical experience   5 +   years of experience   in large scale data analyses of human and/or automated driving performance related data   5 + years in   ADAS,   autonomous vehicle s,   robotics   or related field   Experience in the f ollowin g:   Programming & Frameworks :   Python, SQL     Cloud & Big Data:   Extensive experience in   cloud-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 , sampling   strategies.   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   Proven   track record   providing   large scale and continuous analytics   development   and 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 - scale   vehicle motion and context related   data to characterize driving performance   Record of involvement in vehicle safety related   discourse 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 &#xa;&#xa;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).&#xa;&#xa;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.&#xa;&#xa;The selected candidate will be required to travel <25% for this role.&#xa;&#xa;This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.&#xa;&#xa; 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 . 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 . 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 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.

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