• Collaborate with stakeholders and perform independent research to understand business needs and processes • Facilitate virtual meetings and working sessions with cross-functional teams to elicit, analyze, and document detailed business and functional requirements, user stories, and use cases • Develop comprehensive test plans and test cases, perform quality assurance testing and support business users during UAT to ensure solutions meet all requirements and quality standards • Manage development initiatives from initiation to completion, taking personal responsibility and ownership for requirements and deliverables produced • Coordinate activities across multiple teams and departments to ensure timely delivery and alignment with objectives • Provide training and support to end-users on system functionalities and best practices • Serve as a subject matter expert (SME) to troubleshoot issues and address system-related inquiries.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description You will… - Be part of the Platform Requirements and Verification team, collaborating with multidisciplinary Engineers and Research Scientists to enable safe self-driving at scale. - Focus on Software Development for tools to support the Platform team's validation and verification (V&V) activities with emphasis on: - Vehicle dynamics and control simulation for Autonomous Vehicle (AV) systems - Use of Large Language Models (LLMs) for generating requirements and verification, as well as test environments. - Receive hands-on work experience in identifying system requirements, building simulation environments, and deploying software. - Work closely and learn Systems Engineering, Architecture Design, Requirements and Verification. Qualifications - Working towards a BSc, MSc, or PhD in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a similar technical field of study. - Demonstrated software engineering experience: through previous internships, work experience, coursework, and personal initiatives. - Proven capabilities of functional software with Python and/or Rust. - A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics. Requirements - Prior experience or participation in a Formula SAE, Baja SAE, or other relevant robotics/vehicle competition. - Experience with physics-based simulation environments for vehicle dynamics and controls. - Knowledge of low-level systems, including C++ or Robotics Operating Systems (ROS). - Familiarity with Generative AI / Large Language Models (LLMs) APIs. Benefits - Daily drinks, snacks and catered meals (when in office) - Regularly scheduled team building activities and social events - As we grow, this list continues to evolve!

• Support a mainframe environment for government agency, coordinating, executing, and reporting on backup and disaster recovery activities • Monitor Disaster Recovery Back-ups using DFHSM, DR/VFI, storage monitoring, file transfer support • Batch Scheduling and Monitoring using TWS, Abend Resolution, JCL Updates • Support Content Management (CA-View/Deliver, Systemware JHS) systems • Application Release Deployment and Installations • Perform daily backups of various mainframe regions • Monitors and controls job processing flows using scheduling tools (TWS and TDWC) in the z/OS, z/Linux, and UNIX environments • Serve as primary point of contact for researching making corrections to mainframe backup jobs • Provide regular reporting on production and UAT processing issues • Ensure that production and testing mainframe software release packages are installed correctly • Create and update dashboards to track the processing of various mainframe job cycles • Review mainframe batch jobs and claims processing for errors and help coordinate any corrections and necessary re-runs

• Own the design and evolution of our data warehouse architecture, ETL/reverse ETL pipelines, and data models that serve analytics and operational use cases • Build and maintain data pipelines using Fivetran, Hightouch, dbt, and Airflow; ensure data quality, freshness, and reliability across the ecosystem • Design and implement integrations between operational systems and our data platform using APIs, webhooks, and ETL patterns • Partner with business stakeholders to ensure BI platforms (Omni, Looker, etc.) have the data structures and models needed for accurate reporting • Build and maintain CI/CD pipelines, automated testing frameworks, and deployment automation for data infrastructure • Lead design sessions with cross-functional teams, mentor junior engineers, and establish best practices for data engineering and testing • Engage with EverCommerce and subsidiary leadership on data strategy, presenting recommendations and progress through presentations and architecture diagrams • Lead testing for major data releases, develop comprehensive test plans, and drive continuous improvement in data quality