Top Robotics Software Engineer Jobs in Atlanta, GA

The Principal Developer Productivity Engineer will enhance GM's developer tools, mentor engineers, and drive system performance through observability and software engineering best practices.

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.

The Senior Software Data Engineer will design and optimize cloud-based data pipelines, utilizing Python and AWS services to deliver scalable data solutions, mentor junior engineers, and ensure compliance with security and quality standards.

Build and ship software and occasional embedded firmware to manage a large Unitree quadruped fleet. Implement fleet reliability, telemetry, live video pipelines, data visualization/alerts, and integrations with hardware and Mission Control. Collaborate on AI/agentic tooling and long-term platform architecture while iterating from customer feedback.

Design, develop, test, document, and deploy high-quality Salesforce (Service Cloud) solutions. Provide break/fix support, integrate Salesforce with other systems, monitor performance and security, collaborate with stakeholders, and manage multiple projects using Agile/SCRUM and Salesforce engineering best practices.

The Principal Software Engineer, Cloud will lead the Cloud Platform team to define technical strategy and architectural direction, ensuring robust cloud systems for robotics and AI applications.

The Manager, Cloud and Data will lead a team to build and maintain scalable data infrastructure for autonomous vehicle technology, mentoring team members and managing day-to-day operations.

As a Backend Software Engineer, you'll design, develop, and optimize scalable backend platforms and services while collaborating with cross-functional teams.

Design and build the Command & Control frontend and full-stack features for large heterogeneous UAV swarms. Develop distributed, real-time infrastructure tolerant of intermittent communications, implement UI concepts for telemetry, sensors, scheduling and data links, own features end-to-end, and maintain strong CI/CD, QA, and DevSecOps practices.

Design and develop full-stack applications for controlling autonomous construction robots, including backend services and front-end interfaces. Collaborate in rapid deployment cycles.