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.
About LabelboxWe're the only company offering three integrated solutions for frontier AI development:
- Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
- Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
- 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.
We are seeking a highly motivated Senior 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.
Your Impact- 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).
- 3+ years of relevant professional experience.
- 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.
#LI-Onsite
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
- Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland
- Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility
- Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
- Growth: Career advancement opportunities directly tied to your impact
- Vision: Be part of building the foundation for humanity's most transformative technology
We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
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