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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - AV Data & Analysis Tools - **Company:** General Motors - **Location:** Warren, MI, United States (Remote available) - **Experience:** Expert - **Salary:** $144,700 - $261,300 - **Contract:** Permanent contract - **Skills:** Query Performance, JavaScript (Programming Language), Adobe InDesign, Application Programming Interfaces (APIs), Data Analysis, Apache HTTP Server, Systems Engineering, BigQuery, Code Review, Encodings, Data Mining, Software Debugging, Programming Tools, Protocol Buffers, H.264/MPEG-4 AVC, Python (Programming Language), PostgreSQL, Node.Js, Software Engineering, SQL Databases, TypeScript, Web Applications, WebGL, Parquet, Three.js, Google Cloud, Data Ingestion, ReactJS, Large Language Models, Indexer, Agentic-AI, Pgvector, Kubernetes, Bug Reporting, Information Technology, Milvus, OpenSearch - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-av-data-analysis-tools-warren-mi--ffc970c5-df0c-4507-aa2e-3273793e7870 ## About the Role Software Engineering, Audiovisual, Data Analysis, Automotive Automation, Automation, Audiovisual, Analysis Skills, Autonomous Driving Systems, Vehicle Fleets, Simulation, * 5+ years of professional software engineering experience, including 3+ years building complex, data-intensive web applications with TypeScript/JavaScript and React. * A track record of spotting an unmet user need yourself, building the tool or feature that addressed it, and driving it to real adoption. * Hands-on experience building on both SQL and vector databases, including data modeling, indexing, and query performance (e.g., PostgreSQL or BigQuery, and Vespa, Milvus, pgvector, or OpenSearch). * Comfort working across the stack, designing APIs and building services in Node.js or Python. * Deep experience diagnosing and fixing web application performance problems (rendering, memory, large-data and streaming throughput) through profiling and measurement. * Demonstrated technical leadership: leading multi-person projects, writing design docs, and driving decisions across teams. * Clear written and verbal communication with technical users whose needs differ widely, from perception researchers to test operators. * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. ## Description Our senior engineers don't wait for a spec. Demand for our tools outpaces any roadmap, so the most valuable thing you'll do is decide what to build. That means finding the problem that's quietly costing engineers hours every week, designing the tool that removes it, and shipping it. You'll own a major part of the data lifecycle end to end, such as how engineers search and mine data, or how they analyze and debug it. You'll also help connect cataloging, search, and analysis into one workflow. What You'll Do * Find the highest-leverage gaps in how engineers find, analyze, and debug AV data. Work alongside users, read support channels and bug reports, and notice where teams are building their own workarounds. Then turn those gaps into tools people adopt. * Record and catalog new AV data as it arrives, with the context engineers need to trust and use it: vehicle, software version, location, and ingestion status. * Index and mine road data alongside simulation output. Build search that combines structured metadata queries in SQL with embedding-based similarity search in vector databases, plus natural-language queries and LLM- and VLM-powered curation. * Build high-performance tools for analyzing what happened, with synchronized replay of camera video, lidar, 3D scenes, plots, and maps. Engineers use them to triage and diagnose issues, to validate new software changes, and to debug live in the vehicle during testing. * Take ambiguous requests from idea to shipped. Write requirements and design docs that weigh options, build consensus with stakeholders, and deliver iteratively so users are unblocked early. * Serve as technical lead for a multi-project workstream. Plan and break down the work, delegate, hold a high bar in design and code reviews, and guide engineers across GM who contribute to our tools. * Keep tools fast and reliable in production, and raise the bar for the team's engineering systems: tests, CI speed, developer experience, observability, and on-call. * Mentor engineers, and use AI-assisted development and agentic workflows to multiply what a small team can deliver., * Depth in search and retrieval: multimodal embeddings (e.g., CLIP- or SigLIP-style image-text models), hybrid ranking that blends vector similarity with structured filters, and measuring search relevance. * Building LLM-, VLM-, or agent-based features into products, and fluency with AI-assisted development tools. * 3D and GPU-accelerated graphics in the browser (WebGL, three.js, regl), and map visualization (deck.gl, Mapbox GL). * Browser media and concurrency APIs: WebCodecs (H.264 video), Web Workers, OffscreenCanvas, WebAssembly. * Robotics or AV data: ROS/ROS 2, rosbag or MCAP, Protobuf, and Apache Arrow or Parquet, plus visualizing or debugging time-series sensor data (camera, lidar, radar). * Data ingestion and cataloging at scale: metadata, provenance, and lineage for large sensor datasets; workflow engines such as Temporal; Kubernetes and Google Cloud. * Owning internal developer tools in production: SLOs, monitoring, incident response, and on-call.