Software Systems Engineer – Data Labeling Engineering

General Motors

. Build tools and services that help machine learning teams create high-quality training data for autonomous driving .

Posted 11/4/2026full-timeSunnyvale • California • United StatesMid-LevelSenior💰 $125,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building tools and services for machine learning applications, with a strong focus on automation, data quality, and scalable software design. Proficient in programming languages and frameworks relevant to AI-driven development workflows and data-centric AI.

Highest-signal resume keywords

Python ProgrammingTypeScript ProgrammingFull-Stack DevelopmentMachine Learning IntegrationData Quality Automation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringObject-Oriented DesignAPI DesignData StructuresAlgorithmsTest-Driven DevelopmentScalable Software DesignData ModelingCode QualityObservability

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

ReactSQLReduxGRPCGraphQLWebGLAI Tools

Industry Keywords

Autonomous VehiclesRoboticsData-Centric AIML Platform Technologies

Tech Stack

Tools & technologies

GraphQLGRPCJavaJavaScriptPythonReactReduxSQLTypeScriptC++Go

About the role

Key responsibilities & impact

Build tools and services that help machine learning teams create high-quality training data for autonomous driving
Develop automation and tooling for labeling workflows and data quality, including efficiency dashboards, auto-QA, and autolabel review tools
Collaborate with ML engineers to design and integrate ML-driven data annotation, pre-labeling, autolabeling, and active learning loops
Design, implement, and test scalable, high-performance frontend experiences and backend services
Ship features spanning multiple product surfaces that affect data-labeling speed and accuracy
Use and advocate for AI-powered development workflows such as code assistants, automated documentation, and test generation
Contribute to production systems while developing expertise across frontend, backend, data, and ML-adjacent technologies
Partner with AI/ML engineering, Product Operations, Product Management, Data Science, and ML Platform groups

Requirements

What you’ll need

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; completed degrees must have been earned 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 of Python, TypeScript, JavaScript, Go, Java, or C++
Familiarity with object-oriented design, design patterns, data structures, algorithms, API/interface design, and engineering best practices
Strong communication and collaboration skills
Interest in autonomous vehicles, robotics, machine learning, data-centric AI, or developer and ML platform technologies
Preferred: degree completed between May 2025 and August 2026, with availability to begin employment in 2026
Preferred: hands-on experience leveraging AI tools
Preferred: proficiency in scalable full-stack code using Python, TypeScript, Go, React, SQL, Redux, gRPC, GraphQL, WebGL, and related technologies
Preferred: understanding of scalable software system design, data modeling, API/interface design, object-oriented design, design patterns, data structures, algorithms, TDD, code quality, observability, and CI/CD

Benefits

Comp & perks

Potential eligibility for relocation benefits
Incentive pay program with payouts based on company performance, job level, and individual performance
Benefits supporting well-being at work and at home
Reasonable accommodation support for applicants with disabilities