Jobs in the United States

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Added 1 min ago
Sr IT Software Engineer
Palo Alto Networks, Inc.
CA
The Senior Software Engineer on the Data & Analytics team will design, build, and support full-stack applications; integrate AI technologies into existing and new applications to deliver…
Added 2 mins ago
Full Stack Developer Intern
Akeshya Private Limited
Remote, United States
We are looking for a Full Stack Developer Intern to join our team and work on real-world projects. This is a fantastic opportunity to gain hands-on experience in frontend and backend…
Added 2 mins ago
BS
Product Engineer
Bubble Sort Recruiting
San Francisco, CA
- $180,000 to $250,000 USD / year
We’re hiring for full stack and backend roles
Added 2 mins ago
BS
Founding Engineer
Bubble Sort Recruiting
San Francisco, CA
- $120,000 to $200,000 USD / year
1 - 4 years of experience as a full stack, backend, or forward deployed engineer
Added 3 mins ago
Lead Engineer
Gaya
Remote, United States
Full-Stack Development: Contribute to the design and implementation of our back-end services, including managing our in-house APIs, third-party data integrations, and ensuring the…
Added 5 mins ago
AI Engineer - Equity Only
Luupli
Remote, United States
Strong Python development skills with full-stack AI engineering experience:
Added 6 mins ago
MT
Forward Deployment Engineer- San Diego Hybrid
Medina Talent Group
San Diego, CA
- $155,000 to $200,000 USD / year
Expert-level Python and strong full-stack fundamentals, with the judgment to choose boring, reliable technology when the problem calls for it.
Added 7 mins ago
SH
Founding Full-Stack Engineer (Backend-leaning)
Solstice Health
New York City, NY
- $150,000 to $275,000 USD / year
Strong proficiency in full-stack web development technologies such as Python, FastAPI, Docker, AWS
Added 7 mins ago
Founding Engineer (Applied AI & ML Ops)
Solstice Health
New York City, NY
Strong proficiency in full-stack web development technologies such as Python, FastAPI, Docker, AWS
Added 8 mins ago
AI Full Stack Engineer (Volunteer)
Solution Community
Remote, United States
Solid full-stack fundamentals (front end: React, Vue, or similar; back end: Node.js, Python, or similar) - enough to review, debug, and correct AI-generated code, not necessarily to write…
Added 8 mins ago
Software Engineer, Robotics
Deccan AI
San Francisco, CA
Full-stack ownership. Annotation backends, VLA training integration, sim-based eval - you own entire systems, not isolated tickets.
Added 8 mins ago
Robotics Simulation & Synthetic Data Intern
Deccan AI
Mountain View, CA
Full-stack ownership. Sim environment setup, trajectory generation, visual augmentation, dataset curation, and policy benchmarking - you'll touch every layer.
Added 13 mins ago
GL
Full Stack Developer (Founding Team)
Gradientflo Labs
San Francisco, CA
- $40,000 to $60,000 USD / year
10+ years full stack experience with both React/Next.js (FE) and Python/FastAPI (BE).
Added 13 mins ago
GL
Chief Technology Officer (Tech - Founding Pillar)
Gradientflo Labs
San Francisco, CA
- $40,000 to $60,000 USD / year
You’ll manage and mentor a 7-person founding engineering team (PM, FE, BE, Full Stack, AI, Prompt, DevOps, QA) while also representing Vibecoderz’ technology to investors, partners, and the…
Added 14 mins ago
AI engineering Intern
i95Dev, Inc.
Remote, United States
As an AI Engineering Intern at i95dev, you'll work on integrating large language models (LLMs) into our full-stack eCommerce applications. You'll collaborate with our engineering team to…
Added 15 mins ago
Site Reliability Engineer Internship
Metasys
Remote, United States
Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.
Added 15 mins ago
Performance Tester Internship
Metasys
Remote, United States
Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.
Added 15 mins ago
DevSecOps Engineer Internship
Metasys
Remote, United States
Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.
Added 15 mins ago
Lead .Net Full Stack Developer with Looker or Tableau
Comspark group
Basking Ridge, NJ
Role- Lead .NET Full Stack Developer with Looker or Tableau
Added 18 mins ago
ET
Full Stack Developer (AI)
EdgeQ Technologies Private Limited
Remote, United States
- $80,000 to $150,000 USD / year
We are seeking a talented Full Stack Developer (AI) to design, develop, and deploy scalable web applications powered by artificial intelligence. The ideal candidate will have experience…
Added 42 mins ago
T
Storage Engineer
TEKsystems
San Diego, CA
- $65 to $80 USD / hour
…across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive…
Added 42 mins ago
T
AWS Connect Systems Engineer
TEKsystems
Scottsdale, AZ
- $50 to $70 USD / hour
…across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive…
Added 57 mins ago
TT
Founding Engineer
True Talent Solutions Partners
New York, NY
- $210,000 to $260,000 USD / year
- Three to eight years of experience as a backend or full-stack engineer, with strong backend architecture and database schema design skills.
Added 1 hour ago
Full-Stack Developer Lead
Companies, Inc.
Dallas, TX · Atlanta, GA
2020 Companies is looking for a Full-Stack Developer Lead: a builder who can also lead. You will design and ship the applications our field teams, clients, and internal teams use, from the…
Added 1 hour ago
IG
Sr. Full Stack Java Developer (Remote)
Insight Global
Remote, United States
- From $71 USD / hour
Full-stack development experience using React, JavaScript/TypeScript, HTML, and CSS

General Motors LLC

Software Systems Engineer, Data Labeling Engineering - Early Career

Sunnyvale, CA, United States

The salary range for this role is $125,000 to $165,000.

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Job details

Pay: The salary range for this role is $125,000 to $165,000.
Apply by: Nov 13, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

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.

What You’ll Do

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’ll 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.

About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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More about this job

Skills

Drive vehicles
Machine learning
Data engineering
ML
TypeScript
React
Python
GraphQL
Go
Quality control systems
Documentation
Computer science
Computer engineering
Artificial intelligence
Research
JavaScript
Oracle Java
C++
Communication skills
Collaboration
Robotics
SQL
Data modelling
CI/CD

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