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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Metrics Frameworks - **Company:** General Motors - **Location:** Warren, MI, United States - **Experience:** Expert - **Salary:** $123,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Unit Testing, Bash Shell, BigQuery, C++ (Programming Language), Software Quality, Code Review, Databases, Computer Engineering, Data Integrity, Data Mining, Software Debugging, Django Web Framework, Python (Programming Language), Performance Tuning, Tensorflow, Data Ingestion, ReactJS, Build Management, Performance Monitor, Data Management, NestJS, Data Pipelines, Databricks - **Published:** June 18, 2026 - **Apply:** https://www.juju.com/job/00000000g8vwh0 ## About the Role + Experience with writing Python in a production environment (unit testing, code review, algorithmperformanceand tradeoffs, etc.) + Experience withOLAP databases andSQL related technologies (e.g.,Big Query,Databricks,DuckDB,etc) + Experience withdata orchestration and transformation tools likeAirflow, DBT,etc + Experience developing scalable softwareand datasolutions used by many developersand stakeholdersand capable ofprocessingpetabytes of data + Experience with time-series data analysis and online performance monitoring tools + Experience developing automation scripts (Python and Bash scripts) + BS inComputer Science,Computer Engineering,Electrical Engineering, Mechanical Engineering, or Aerospace Engineering + 5+ years of industry experience + Strong organizational and communication skills What Will Give You** **A** **Competitive Edge + Familiarity with ROS, Python bindings for C++, and plotting/visualization libraries + Experience working in the Autonomous Vehicle or Robotics industry + Experience with full-stack languages and frameworks, such as Nest.js, React, Django, etc. + Knowledge of machine learning frameworks and their application in testing automationand metrics generation. + Experience building high performance framework / infrastructure and performance optimization in C++ Experience working within amonorepoand using Bazel ## Description As a Software Engineer on the Metrics Frameworks team, you will lead the development of tooling to monitor and improve our pipelines' data quality. These pipelines support road event monitoring, data mining and training, and simulation metrics. We are seeking an experienced software/data engineer to build telemetry, data quality inspection tooling, dashboards, and alerting that establish guardrails on data quality (e.g., delay, accuracy, completeness). Your work will increase confidence in our data and downstream metrics for internal customers. These metrics will support and accelerate feature design, prioritization, and development, as well as evaluate the impact of newly released features. **About the** **Organization:** The Metrics Frameworks team falls within the Simulation, Evaluation, and Data organization, which is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Metrics Frameworks team focuses on creating, maintaining, and evolving the analytics framework that supports GM's goal of safe, high-performing, and scalable driverless technology. The team delivers robust and scalable tools that facilitate data-driven decision-making throughout the AV feature development lifecycle. We collaborate closely with Simulation Evaluation, Embodied AI, and System and Test Engineering teams, enhancing productivity across the organization by developing automation tools and shared libraries. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework. This includes, but is not limited to: developing customized analytics workflows; improving operational telemetry and dashboards to track relevant KPIs for prioritization; and identifying, designing, and implementing solutions to achieve key results. What** **You'll** **Do + Lead the design, implementation, and roadmapdevelopmentfor tooling thatmonitorsdata quality from various sources (simulation, road, etc.) and empowers users to debug dataissues and build quantitative analysis pipelines. + Acceleratetheteam's effectivenessby designing and implementing scalable automation tools forinspecting data ingestion,processing,inspection,debugging, and performance monitoring. + Build andoptimizedata processing pipelines to handle large volumes of testing data, enablinglow-latencyinsights for AV testing performance. + Collaborate with other frameworks and data infra teams to build and deploy toolsthatimprovedeveloper productivity and data reliability. + Work closely with autonomous vehicle engineering teams to enable rapid iteration, model feedback, and metrics-driven decision-making. + Maintain a high technical bar for code quality and system designthrough architecturalandcodereviews. ## Related Videos - [Car's are Technology on Wheels - Impact of Software and IT Competence in Automotive](https://www.wearedevelopers.com/videos/780-car-s-are-technology-on-wheels-impact-of-software-and-it-competence-in-automotive) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Making Data Warehouses fast. 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