Top Robotics Software Engineer Jobs in Boston, MA

The Senior Director of Mobile Applications will set the strategy and execution for SharkNinja's mobile app platform, leading a global team to deliver consumer-scale apps and collaborate across departments.

Lead the design and development of high-quality cross-platform applications using Flutter and Dart, while mentoring junior developers and ensuring coding standards are met.

The AV Safety Engineering Analytics Engineer develops data analytics infrastructures, defines metrics for safety assurance, and creates visualizations for automated vehicle technologies, enhancing decision-making through data integration and analysis.

The Engineer will develop data analytics infrastructure for AV safety analytics, integrate simulation data, and collaborate to enhance automated driving systems' validation and performance metrics.

Responsible for improving and maintaining fleet management software, developing new features, collaborating with peers, and resolving issues.

The Backend Software Engineer designs and builds backend services for task planning and robotic workflows, ensuring performance and reliability in robotic systems.

Develop system software components, collaborate with design teams, optimize resources, and engage in the product development lifecycle in a dynamic environment.

The Technical Project Manager will coordinate software and hardware development projects, manage timelines and resources, and ensure alignment among multifaceted teams and external partners, focusing on innovation in consumer electronics.

The AI Enablement Engineer will integrate AI tools into engineering workflows, enhance productivity, and ensure compliance with data security standards while supporting engineers' adoption of AI solutions.

Develop and maintain full-stack applications for manufacturing operations, build data pipelines, and optimize processes in a fast-paced environment.

Lead the development of machine learning algorithms focusing on perception for autonomous driving, collaborating across teams and mentoring ML developers.