Robotics Engineering Manager

Kinetic Automation is pioneering the development of a network of automated repair centers tailored for modern vehicles. Our mission is to establish Kinetic as the premier infrastructure-as-a-service provider by servicing vehicles through our robotic repair centers, fueled by our cutting-edge software and AI technology.

We specialize in delivering precise calibration service to ensure the utmost performance and safety of vehicle Advanced Driver Assistance Systems (ADAS).

Our unwavering dedication to innovation and client satisfaction has solidified Kinetic Automation as the trusted partner for automotive manufacturers, collision centers, dealerships, and service centers.

Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly.

Job Duties

• Drive robotic engineering design, development, and testing of autonomous vehicle systems and technologies.
• Manage the coordination and overall integration of technical activities in engineering projects.
• Guide the development and implementation of SLAM (simultaneous localization and mapping) algorithms tailored for autonomous vehicles.
• Oversee the integration of machine learning models into the robotic systems, ensuring optimal performance and reliability.
• Direct, review, and approve project design changes.
• Monitor the latest advancements in SLAM, machine learning, and robotics, and incorporate them into the company's technology stack.
• Ensure the robustness, safety, and efficiency of the developed systems.
• Lead the testing and validation of the autonomous systems in real-world scenarios.
• Assess project feasibility by analyzing technology, resource needs, or market demand.
• Collaborate with academic and industry partners to drive advancements in the field of autonomous vehicles.
• Lead the testing and validation of robotic systems, ensuring they meet safety and performance standards.
• Collaborate with the quality assurance team to develop testing protocols and computing methodologies.
• Develop and manage the engineering budget, ensuring optimal allocation of resources for projects and initiatives.
• Develop and implement policies, standards, and procedures for engineering and technical work.
• Establish scientific or technical goals within broad outlines provided by top management.

Minimum Education & Experience Required

Must have Master’s degree or equivalent in Robotics, Machine Learning, Computer Engineering, or a related field plus 5 years of experience in the offered role or related.

Must have 5 years of experience with : linear algebra; sensor calibration techniques for robotics and autonomous systems;

and Linux based systems.

Must have 3 years of experience with : machine learning methods; Python; and robot operating systems.

Must have some experience with : optimization techniques; gradient descent; lidar and stereo camera based point clouds; Kalman filters;

particle filters; articulated robots and manipulators; C++; AWS and Google cloud; and statistical methods for precision and recall.

Multiple positions available.

How to Apply

Select Apply Now below and submit resume.

The pay range for this role is : 180,000 - 210,000 USD per year (Santa Ana, CA)

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