The VP Engineering will lead the development of engineering initiatives, drive software solutions for robotics, and manage a high-performing team.

The Hardware Engineer designs and develops custom hardware solutions for autonomous vehicles, oversees vendor operations, and ensures compliance with industry standards.

Develop motion planning algorithms and software for autonomous vehicles, ensuring safety and efficiency in complex environments through collaboration and team efforts.

Manage partnerships and technical projects, serving as a liaison, ensuring communication, providing expertise, and driving results in autonomous vehicle technology.

Develop and scale state-estimation algorithms for robotic systems, collaborate with teams, and manage real-time performance challenges.

As a Robotics System Engineer, you will architect large-scale software/hardware systems, gather customer requirements, and support engineering teams in testing and validation to exceed expectations.

Develop and maintain driving simulation software for autonomous vehicles, ensuring accuracy and scalability of simulation environments and collaborating with cross-functional teams.

Develop Cloud Data Infrastructure for Assured AI in autonomous vehicles, focusing on ML model training, evaluation, and deployment.

The Business Operations Manager will support key business functions, collaborate with stakeholders, and assist in strategic planning and project management.

Develop deep learning models for autonomy applications, implement ML algorithms for self-driving vehicles, and resolve real-world testing issues.

Design and develop mechanical systems for autonomous vehicles, collaborate with software teams, conduct testing, and troubleshoot issues.

Lead business development and partnerships at BlueSpace.ai, focusing on growth in defense, mining, and commercial transit sectors while collaborating cross-functionally.