Software Systems Engineer, Data Labeling Engineering - Early Career

General Motors Company; Sunnyvale (CA); Hybrid; USD 125,000 - 165,000; Full time

Benefits offered by this job

Relocation benefits

Job summary

General Motors Company in Sunnyvale, CA is seeking an early-career Software Engineer on the Data Labeling Engineering team to build tools and services for ML training data in autonomous driving. You will work across frontend, backend, data pipelines, and ML-adjacent systems to enable scalable labeling workflows.

You will learn from experienced engineers, own meaningful pieces of a platform, and contribute to production systems, with opportunities to grow in full-stack capabilities and

Qualifications

• Recently completed a degree in CS/CE/SE/AI/ML within the last 12 months or soon after.
• Experience shipping software via internships, research, or projects.
• Proficient in Python, TypeScript, JavaScript, Go, Java, or C++ and related tooling.
• Strong fundamentals in OOD, data structures, algorithms, and API design.
• Excellent communication, collaboration, and ability to work with cross-functional partners.
• Interest in autonomous vehicles, robotics, ML, and data-centric AI.

Responsibilities

• Build tools and services across frontend, backend, data pipelines, and ML integrations for labeling at scale.
• Collaborate with ML engineers to design ML-driven data annotation and auto-labeling features.
• Develop scalable, high-performance user experiences and services that improve labeling workflows.
• Promote AI-powered development workflows to increase velocity while ensuring quality.

Skills

Programming languages

Communication skills

Collaboration

Interest in AV/ML

Education

Bachelor's degree or higher in CS/CE/SE/AI/ML

Tools

Python

TypeScript

Go

React

GraphQL

gRPC

Job description

About the Team

Help teach our self-driving vehicles how to see and understand the world.

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV organization. We operate in the intersection of software engineering, data engineering, and AI/ML, defining the strategies, tooling, and quality controls that create reliable training data at scale. Our tools and platform are used by thousands of users and consumers.

We own a modern full-stack architecture including TypeScript/React, Python,GraphQL, Golang, and ML model services, which powers data-annotation pipelines and machine-led training data solutions at foundation - model scale. We partner closely across AI/ML engineers, Product Operations, Product Management, Data Science, and other ML Platform groups.

About the Role

As an early-career Software Engineer on the Data Labeling Engineering team, you will build tools and services that help machine learning teams create high-quality training data for autonomous driving. Your work may span frontend experiences, backend services, data pipelines, machine learning integrations, and quality systems used by labelers, ML engineers, and operations teams.

This role is designed for a recent college graduate or engineer early in their career who wants to own meaningful pieces of a platform, grow their technical expertise, and work directly on systems that enable the next generation of AV capabilities. You will learn from experienced engineers while contributing to production systems and developing depth across frontend, backend, data, and ML-adjacent technologies.

WhatYou’llDo

• Level up how ML teams work with data
  Develop automation and tooling that give ML engineers deep insight into labeling workflows and data quality (e.g., efficiency dashboards, auto-QA, autolabel review tools), reducing iteration time from idea to trained model.

• Apply ML to labeling itself
  Collaborate with ML engineers to design and integrate ML-driven data annotation (pre-labeling, autolabeling, active learning loops), helping us move from human-only to machine-led labeling at scale.

• Build high - impact labeling experiences
  Design, implement, and test scalable, high-performance user experiences and services using modern full-stack and/or frontend technologies. You will ship features spanning multiple surface-areas that directly affect how quickly and accurately we can label data for new models and cities.

• Champion AI - assisted engineering
  Use and advocate for modern AI-powered development workflows (code assistants, automated documentation, test generation, etc.) to increase build-velocity while maintaining code and product quality.

Basic Qualifications

• Recently completed a bachelor’s, master’s, or PhD degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Machine Learning, or a related STEM field. For completed degrees, graduation must have occurred within the past 12 months.

• Experience shipping software or features through internships, research, academic projects, or prior professional work.

• Programming experience in one or more languages such as Python, TypeScript, JavaScript, Go, Java, or C++.

• Familiarity with software fundamentals, including object-oriented design, design patterns, data structures, algorithms, API/interface design, and engineering best practices.

• Strong communication and collaboration skills; you can explain tradeoffs, influence peers, and work through ambiguity with cross-functional partners.

• Interest in autonomous vehicles, robotics, machine learning, data-centric AI, or developer and ML platform technologies.

Preferred Qualifications

• Degree completed between May 2025 and August 2026, with availability to begin employment in 2026.

• Hands‑on experience leveraging AI tools (agentic workflows, knowledge acquisition, documentation generation, operational triage, etc) to accelerate understanding, implementation, debugging, and delivery of new capabilities.

• Proficiency in writing and reviewing high-quality, scalable, and performant full-stack code using technologies and languages like Python, TypeScript, Go, React, SQL, Redux, gRPC, GraphQL, WebGL, etc.

• Solid understanding of scalable software system design including data modeling and API/interface design.

• Strong fundamentals in object-oriented design and design patterns, data structures, algorithms, and engineering best practices (TDD, code quality, observability, CI/CD).

• Driven to learn new technologies and deepen your expertise across frontend, backend, and data/ML-adjacent systems.

• Empathetic to user challenges (from labelers to ML engineers to Ops) and excited to turn messy workflows into simple, intuitive tools.

Location

• Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to our Suynnvale, CA office three times per week, at minimum.

• This job may be eligible for relocation benefits.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $125,000 to $165,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.