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Develop and integrate real-time sensor software and AI/ML algorithms for autonomous vehicles, collaborating with multiple teams and ensuring deployment success in field environments.

Develop and maintain real-time sensor software solutions for autonomous vehicles, integrating AI/ML algorithms for various sensor systems across multiple domains.

Develop collaborative autonomy behaviors for heterogeneous autonomous vehicles. Adapt and develop autonomy capabilities, integrate solutions onto hardware, and troubleshoot complex autonomy-related issues.

Design and integrate complex autonomy systems, troubleshoot software/hardware issues, and collaborate with teams to deliver scalable solutions for defense and commercial clients.

As a Systems Engineer, you'll develop and validate software for autonomous vehicles, focusing on deployment, testing, and integration with various sensors.

Lead backend infrastructure development for real-time data visualization, impacting ADAS and AV across various industries, collaborating with teams and customers.

Lead the technical direction of Vehicle OS, define architecture for product areas, collaborate with teams, and drive roadmap aligned with customer needs.

Design and build test infrastructure enabling on-demand testing for developers, leveraging AI tools for functional and performance testing, and collaborating with engineers.

The role involves developing collaborative autonomy behaviors for autonomous vehicles, focusing on engineering algorithms, software development, and system performance in military applications.

The Missions Lead will develop strategies for growth in defense, managing executive relationships and guiding product requirements, engaging with DoD and stakeholders.