Software Engineer, ML Performance
Serve RoboticsFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
You'll assemble, configure, and test Roboflow edge devices like Jetson devices, servers, cameras, and sensors; manage hardware logistics and inventory; and lead on-site installations, hardware bring-up, and system validation at customer sites.
Yes, the role involves traveling to customer sites for field deployments, on-site device installations, and hardware support.
Roboflowers are passionate builders who value ownership, accountability, and a bias toward action; they're curious, hands-on with new tech, prefer showing their work, and thrive in a high-autonomy environment with a founder mindset.
This information is not specified in the job description.
Ideal candidates enjoy solving hardware challenges, optimizing field workflows, and traveling; they should have hands-on experience across hardware, networking, and system configuration, with the ability to partner with teams and customers.
Platform for creating and deploying AI models
Roboflow offers a platform for engineers to create, train, and deploy machine learning models using their own images and videos. The platform features an auto-annotate API for efficient data labeling, along with tools for preprocessing and augmenting image data. Roboflow distinguishes itself from competitors by providing project management tools that enhance team collaboration on AI projects. The company's goal is to simplify the AI development process for a diverse range of clients, from individual engineers to large organizations.