Top Robotics Software Engineer Jobs in Tampa Bay, FL

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

The Design Engineering Manager will lead the NPD team at SharkNinja, focusing on innovative product development, technical feasibility, and collaboration between engineering and design teams. They will drive product roadmaps, utilise ideation techniques, and support prototype creation while mentoring junior colleagues.

The Principal Software Engineer will lead technology and software development, focusing on systems architecture, AI, and robotics. Responsibilities include cloud integration, managing projects, and protecting intellectual property.

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

As a Staff Software Engineer, you will provide technical leadership across teams, driving architectural strategies, scalability, and engineering excellence while mentoring engineers and collaborating with multiple stakeholders.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

Lead Safety Architect for autonomous vehicles, focusing on safety architecture, metrics, analysis, and collaborative processes for software delivery and safety standards.

The Workato Integration Architect will design and implement integrations using Workato, lead development of recipes and connectors, and collaborate with teams to define and optimize integration strategies.

The Software Engineer II will develop and maintain cloud infrastructure, collaborate on AI projects, design APIs, and ensure system reliability on Google Cloud Platform.

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.