Robotics Software Engineer

Shape the Future of AI

At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
2. Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

• High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
• Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
• Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
• Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
• Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview

We are seeking a highly motivated Robotics Software Engineer to join our team and help design, build, and deploy intelligent robotic systems. In this role, you will take ownership of software development that advances autonomy, perception, and human-robot interaction. You will work cross-functionally with hardware engineers and research scientists to deliver scalable, production-ready solutions that push the boundaries of robotics innovation. This is an opportunity for a hands-on engineer who thrives in a fast-paced environment and wants to make an immediate impact on real-world robotics applications.

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

• 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.

• 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.

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

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