Robotics Software Engineer at Labelbox

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, RoboticsIndustries

Requirements

Bachelor’s degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field (Master’s or PhD preferred)
Strong foundation in robotics principles such as kinematics, dynamics, control theory, and/or computer vision
Proficiency in ROS (Robot Operating System) and ROS2, with experience developing and deploying on both
Proficiency in C++ and/or Python
Experience with hardware integration (sensors, actuators, embedded systems)
Strong debugging, problem-solving, and analytical skills
Ability to work independently and collaboratively in a fast-paced environment

Responsibilities

Design, implement, and optimize software for robotic systems, including motion planning, control, perception, and/or sensor fusion
Develop scalable, maintainable codebases in C++ and/or Python
Integrate software with robotic hardware (sensors, actuators, embedded systems) and ensure robust system performance
Run simulations, experiments, and on-hardware testing to validate system performance
Analyze data, identify bottlenecks, and propose/implement optimizations
Collaborate cross-functionally with mechanical, electrical, and research teams to deliver end-to-end robotic solutions
Document code, findings, and best practices to ensure knowledge sharing across the organization

Skills

Key technologies and capabilities for this role

RoboticsSoftware EngineeringAutonomyPerceptionHuman-Robot InteractionAI

Questions & Answers

Common questions about this position

Is this role remote or onsite?

This is an onsite role based in our San Francisco HQ, requiring 5 days in office.

What programming languages are required for this role?

The role requires developing scalable, maintainable codebases in C++ and/or Python.

What is the salary range for this position?

This information is not specified in the job description.

What is the company culture like at Labelbox?

Labelbox operates like an early-stage startup with a high-impact environment that emphasizes impact over process, technical excellence, innovation at speed, continuous growth, and clear ownership with autonomy.

What makes a strong candidate for this Robotics Software Engineer role?

A strong candidate is a highly motivated, hands-on engineer who thrives in a fast-paced environment, takes ownership of software development in robotics, and excels in cross-functional collaboration.

Labelbox

Provides data labeling solutions for AI

About Labelbox

Labelbox offers data labeling solutions for artificial intelligence applications, enabling businesses to label images, videos, text, and documents efficiently. Their platform allows users to create workflows that manage labeling tasks, which is crucial for industries like agriculture and healthcare that require large-scale data labeling for AI model training. Operating on a software-as-a-service (SaaS) model, Labelbox generates revenue through subscription fees and additional workforce services. The company's goal is to enhance AI development by providing high-quality data labeling solutions that streamline workflows.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$183.7MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Competitive remuneration

Flexible vacation policy (we don't count PTO Days)

401k Program

College savings account

HSA

Daily lunches paid for by the company (especially convenient while working from home)

Virtual wellness and guided meditation programs

Dog-friendly office

Regular company social events (happy hours, off-sites)

Professional development benefits and resources

Remote friendly (we hire in-office and remote employees)

Risks

Competition from Google's Gemini platform may attract potential Labelbox clients.

Rapid AI advancements by tech giants could outpace Labelbox's current offerings.

Reliance on partnerships like Google Cloud poses risks if these change or dissolve.

Differentiation

Labelbox offers advanced data labeling solutions for AI applications across multiple industries.

The platform supports complex NLP use cases, attracting tech and communication sectors.

Labelbox's SaaS model includes workforce augmentation services for scalable data labeling.

Upsides

Integration with Google Cloud enhances Labelbox's AI capabilities and client offerings.

Auto-computed metrics reduce error correction time and improve model performance.

Opening a London office facilitates European market expansion and better client service.

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