Top Robotics Software Engineer Jobs in San Francisco, CA

The Senior Data Engineer is responsible for designing and maintaining data pipelines and infrastructure, collaborating on manufacturing processes, and ensuring data integrity and traceability for ML applications.

The Solutions Engineer will develop technical solutions for healthcare automation, translating customer needs into implementable features using the Canvas SDK, while collaborating with teams and maintaining high coding standards.

The Senior Computer Vision Engineer will develop and optimize ML models for computer vision, enhance existing systems, and manage data pipelines while utilizing expertise in various technologies.

Lead the design and implementation of software systems for automated material handling solutions; develop high-performance C++ code and collaborate with cross-functional teams.

The role involves building simulation engines and models for warehouse automation, developing capabilities, analyzing results, and collaborating with engineering teams.

The Software Engineer will develop application systems and integrations for robots in production, collaborating with various teams to ensure system reliability and operational workflows.

The Senior Software Engineer will design and implement APIs, oversee infrastructure in a multi-tenant system, manage complex robotics systems, and mentor engineers while collaborating across teams.

The Full Stack Software Engineer will collaborate with forward-deployed engineers to improve product UX, build intuitive interfaces, and influence product direction while working in a dynamic startup environment.

As a Software Engineer at Sieve, you will build and scale data pipelines for video datasets, ensuring customer delivery of high-quality data. Responsibilities include sourcing data, developing ML filters, and improving system efficiency.

The Full Stack Developer will build and maintain cloud infrastructure and web applications, focusing on robust systems for robot control and monitoring.