Senior Software Engineer, AI Labeling Platform (Hybrid)

General Motors Company; Sunnyvale (CA); Hybrid; USD 175,000 - 261,000; Full time

Benefits offered by this job

Health and wellbeing benefits

Relocation benefits

Hybrid work arrangement

Job summary

General Motors seeks an experienced engineer to join the Data Labeling Engineering team, advancing end-to-end labeling platforms for autonomous vehicles. You will build high-impact experiences, automate ML workflows, and collaborate across ML, Product, and Data Science teams to deliver scalable solutions.

You’ll work across frontend, backend, and data/ML-adjacent systems, applying AI-driven annotation concepts and modern tooling in a hybrid GM environment.

Qualifications

• 6+ years of experience building robust distributed platforms and applications.
• Hands-on experience leveraging AI tools (agentic coding, search, documentation generators) to accelerate capabilities.
• Proficiency in writing and reviewing high-quality full-stack code using Python, TypeScript, Go, React, SQL, GraphQL, WebGL.
• Strong understanding of relational databases, data modeling, and API design.
• Strong fundamentals in OO design, data structures, algorithms and engineering best practices (TDD, observability, CI/CD).
• Experience developing and operating cloud-based applications.

Responsibilities

• Build high-impact labeling experiences with scalable frontend and backend components across surfaces.
• Develop automation and tooling for ML teams to gain insights into labeling workflows and data quality.
• Collaborate with ML engineers to design ML-driven data annotation (pre-labeling, autolabeling, active learning loops).
• Promote modern AI-powered development workflows (code assistants, automated documentation, test generation).
• Own projects end-to-end from problem framing to rollout, including design reviews and technical decisions.
• Collaborate with AV stack partner teams to align requirements with quality, cost, and latency goals.

Skills

Distributed systems

AI tooling

Python

TypeScript

Go

React

SQL

GraphQL

WebGL

Cloud-based apps

Tools

Redux

GraphQL

WebGL

Job description

General Motors seeks an experienced engineer to join the Data Labeling Engineering team, advancing end-to-end labeling platforms for autonomous vehicles. You will build high-impact experiences, automate ML workflows, and collaborate across ML, Product, and Data Science teams to deliver scalable solutions.

You’ll work across frontend, backend, and data/ML-adjacent systems, applying AI-driven annotation concepts and modern tooling in a hybrid GM environment.