• Serve as a technical contributor and trusted advisor across an advanced analytics organization, providing expertise in data analytics, engineering, and modern data architectures. • Support and promote the adoption of advanced analytics, data engineering, and AI/ML capabilities across the enterprise. • Design, develop, and maintain scalable data pipelines, integrations, and analytics-ready data structures that support operational and business objectives. • Recommend and implement data architectures and models for ingestion, integration, transformation, analytics, data science, and visualization workflows. • Collaborate with engineers, analysts, executives, program managers, and subject matter experts in both technical and non-technical environments. • Apply strong problem-solving, analytical reasoning, and critical thinking skills to complex technical and operational challenges. • Communicate technical concepts, insights, and recommendations clearly to diverse audiences.

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 AV Safety Engineering Analytics team is seeking an Engineer with capabilities at the intersection of vehicle engineering, data science, cloud processing and scaled vehicle simulation. The Role 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, these roles offer 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 that run in both the simulation environment and real-world. You will contribute to the Verification and Validation of automated driving systems. You will engage deeply with stakeholders to understand their challenges and needs, collaborate to develop solutions. What You'll Do - Contribute to the development of data analytics infrastructure that supports safety assurance analytics, bridging simulation and on-road, addressing internal and external stakeholder needs across the phases of automated vehicle development and deployment, including both real-world and simulation data. - Add and configure custom observers to evaluate simulation pass/fail criteria - Apply your engineering background and simulation experience to developing trustworthy and explainable methods for validating the safety performance of automated driving systems. - Pilot and develop metrics for application in simulation and on-road for monitoring of development operations and deployment, and to establish sufficiency criteria for launch readiness. - Collaborate with systems, safety, testing, and autonomy engineering teams to ensure simulation coverage of common and rare driving scenarios and ODD elements - Review simulation results to identify gaps between simulated an real-world performance - Develop methods for leveraging a variety of internal and external data sources for safety monitoring and contribute to the development of a reliable supply chain of continuously flowing data from a variety of sources (internal, external, simulation-based, on-road) to support safety assurance related activities. - Drive the integration of simulation technologies into solutions or workflows, ensuring end user requirements are met. - Implement cloud-based continuous up-time analytics solutions for monitoring driving simulated and real-world performance for safety and generating browser based interactive visualizations and periodic reporting artifacts. - Actively contribute to ensuring the performance testing and validation performed in simulation is representative of real-world performance, and leads efficiently to deployment of trustworthy automated driving systems. - Identify and drive opportunities to improve the efficiency, quality and transparency of safety analytics within GPSSC and across GM. 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 working in a field that employs simulation for vehicle development and validation - 5+ years in autonomous vehicles, robotics or related field - Experience in the following: - Simulation: Demonstrated experience with autonomous vehicle simulation platforms, scenario development, - 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 - 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. "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." 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. Total Rewards | 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 [email protected] 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.

• Take full ownership of our dbt project. • Manage our BigQuery environment and performance tuning. • Design, build, and maintain high-impact dashboards in Looker Studio. • Partner with department leads to understand their KPIs. • Identify technical debt and improve data documentation.

• Develop, maintain and optimize robust large-scale data ingestion and transformation pipelines, both batch and streaming. • Build end-to-end data products such as dashboards, automated alerts, internal tools and self-service frameworks for Product and Ops teams. • Integrate data from multiple platforms and tools, such as Azure, GitHub, Mixpanel, ADP, Notion, Google Sheets and various APIs, creating a unified, strategic view of the operation. • Design reliable, scalable and governed data models, ensuring data quality, traceability and consistency. • Lead refactoring initiatives and the organization of legacy environments, driving continuous improvements in architecture and performance. • Implement analytics engineering best practices, including version control, automated testing, observability and monitoring. • Automate operational and governance workflows using integrations, APIs, alerts and data-driven solutions. • Collaborate with stakeholders across Product, Engineering, Operations and leadership to translate strategic needs into scalable solutions. • Act as a technical reference for decisions related to the architecture and evolution of the data ecosystem. • Foster a data-driven culture, enabling teams to consume reliable insights autonomously.