Perception Engineer (Atlanta)

As a Perception Engineer at AeroVect, you'll be responsible for developing, optimizing, and maintaining object recognition algorithms using various technologies such as LiDAR and cameras. Additionally, you’ll establish evaluation pipelines to measure performance improvements and collaborate with the hardware team to integrate sensors effectively into our autonomous systems.

To qualify as a Perception Engineer at AeroVect, applicants should possess a Bachelor’s or Master’s Degree in Computer Science, Electrical Engineering, Robotics, or a related field, along with 2+ years of experience in developing perception modules for autonomous systems. Proficiency in both C++ and Python is essential.

For the Perception Engineer role at AeroVect, proficiency in C++ and Python is required. These languages are critical in developing and optimizing the object recognition algorithms that form the backbone of our autonomous systems.

Yes, at AeroVect, having 2+ years of focused industry experience with developing perception for unmanned ground vehicles is preferred. This background helps ensure that you can effectively contribute to our mission of transforming ground handling operations with autonomy.

As a Perception Engineer at AeroVect, you might work on projects that involve developing innovative object recognition systems for autonomous ground vehicles. This includes enhancing machine learning algorithms, setting up data evaluation pipelines, and collaborating closely with the hardware team to integrate the latest sensor technologies.

In response, highlight specific algorithms you've worked with, such as those utilizing LiDAR or cameras. Discuss the challenges faced, your solutions, and any measurable outcomes achieved, reinforcing how your contributions improved performance.

Mention your proficiency in C++ and Python, providing examples of projects where you used these languages to develop perception modules. This shows your readiness for the technical aspects of the role.

Share a specific example that illustrates your teamwork skills, focusing on how you effectively communicated and solved any conflicts that arose during the sensor integration process.

Talk about using data annotation and evaluation pipelines to measure performance improvements, as well as any techniques for tuning the algorithms for better accuracy in various environments.

Explain your methods for keeping current, such as subscribing to relevant journals, attending conferences, or participating in online forums related to robotics and autonomous systems.

Detail a specific challenge you faced and the analytical methods or creative solutions you implemented to overcome it, reflecting on the positive impact it had on the project.

Mention specific frameworks or models you've used, such as TensorFlow or PyTorch, and discuss projects where you've implemented deep learning techniques to enhance object recognition.

Outline your approach to prioritizing based on project deadlines, complexity, and resource availability, emphasizing your organizational skills and ability to adapt to changing priorities.

Discuss the importance of collaboration, continuous learning, strong programming skills, and having a problem-solving mindset, linking these to your personal experiences and the goals of the team.

Articulate your enthusiasm for AeroVect's mission to innovate ground handling with autonomy. Highlight your alignment with the company's values and how your skills can contribute to future projects.