Remote Senior AV Data & Analysis Tools Engineer

General Motors Company

Warren (MI)

Remote

USD 145,000 - 261,000

Full time

14 hours ago
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Job summary

General Motors is seeking a senior software engineer to help build and own data tools for AV data at scale. You will design and ship end-to-end solutions that enable engineers to search, analyze, and debug autonomous-vehicle data across camera, lidar, and map views.

You will lead multi-project efforts, collaborate with perception researchers and test operators, and mentor teammates while improving tooling performance, tests, and developer experience.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Software engineering
TypeScript/React
SQL and vector DBs
APIs & services
Performance diagnostics
Technical leadership
Communication
Bachelor's degree in CS/Engineering

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Vespa
Milvus
pgvector
OpenSearch

Job description

General Motors is seeking a senior software engineer to help build and own data tools for AV data at scale. You will design and ship end-to-end solutions that enable engineers to search, analyze, and debug autonomous-vehicle data across camera, lidar, and map views.

You will lead multi-project efforts, collaborate with perception researchers and test operators, and mentor teammates while improving tooling performance, tests, and developer experience.

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