Software Engineer, Intrinsic

• Bachelor's degree in Computer Science, Robotics, or a related technical field
• 2 years of experience in software development with a focus on infrastructure or developer tools
• Proficiency in programming with Python and C++
• Experience integrating physical hardware, such as cameras or robot arms, into software systems
• Experience building data processing pipelines or dataset management tools
• Experience working in a Linux development environment

Desirable

• Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers
• We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics
• As a Software Engineer focused on vision-guided robotics, you will build the critical bridges between experimental research and scalable infrastructure
• You will identify friction points in the research workflow and engineer robust software solutions, utilities, and dataset tools to remove them
• Your work will involve hands-on integration of diverse hardware, including maintaining research prototype workcells comprised of various robots and cameras
• By creating scalable infrastructure and accelerating the research loop, you will empower the team to validate and deploy advanced perception capabilities more rapidly
• Develop robust utilities and dataset tools to accelerate the iteration loop for vision-guided robotics research
• Identify bottlenecks in engineering and research workflows and implement scalable software solutions to resolve them
• Construct and maintain research prototype workcells by integrating different robot arms and camera hardware
• Design software infrastructure that supports the collection, management, and processing of large-scale robotics data
• Collaborate with researchers to transition experimental workflows into reliable, production-ready engineering systems
• Contribute to the architectural design of codebase, ensuring experimental code can be written quickly while keeping a path to modularity, scalability, and production in mind.