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Staff Software Engineer, Perception

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

You will

  • Deploy 3D object detection models, including multi-modal approaches (camera, LiDAR, radar).

  • Build and maintain a robust data collection and evaluation (metrics) pipeline.

  • Develop a proprietary dataset for model training and evaluation.

  • Train and evaluate state-of-the-art (SOTA) models.

You have

  • Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field.

  • 4+ years of focused experience in deploying 2D/3D object detection models.

  • Python proficiency.

  • The ability to lead projects and teams autonomously

We Prefer

  • PhD in Computer Science, Robotics, or a related discipline.

  • Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc

What You Should Know About Staff Software Engineer, Perception, AeroVect

At AeroVect, we are on a mission to revolutionize ground handling with cutting-edge autonomy solutions, and we are searching for an enthusiastic Staff Software Engineer, Perception to join our innovative team. In this remote role, you will play a crucial part in deploying sophisticated 3D object detection models that utilize multi-modal approaches, integrating information from camera, LiDAR, and radar sensors. Your expertise will help us build and maintain a robust data collection and evaluation pipeline, ensuring that our models perform optimally. You'll also take the lead on developing proprietary datasets for training and evaluating our algorithms. We are seeking someone who holds at least a Bachelor's or Master's degree in Computer Science, Robotics, Deep Learning, or a related field, with at least 4 years of hands-on experience in deploying 2D/3D object detection models. Proficiency in Python is essential, and your ability to spearhead projects and lead teams independently will be highly valued. If you have a PhD or have published in top-tier conferences such as CVPR, ICRA, NeurIPS, IJCAI, or AAAI, we would love to hear from you. Join us at AeroVect and help shape the future of air travel operations!

Frequently Asked Questions (FAQs) for Staff Software Engineer, Perception Role at AeroVect
What are the responsibilities of a Staff Software Engineer, Perception at AeroVect?

As a Staff Software Engineer, Perception at AeroVect, you'll be responsible for deploying 3D object detection models, which involves leveraging multi-modal approaches involving cameras, LiDAR, and radar. Additionally, you'll develop a robust data collection and evaluation pipeline to ensure the accuracy and reliability of these models. A key part of your role will also include creating proprietary datasets that are essential for training and evaluation of our advanced algorithms.

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What qualifications are needed for the Staff Software Engineer, Perception position at AeroVect?

To qualify for the Staff Software Engineer, Perception position at AeroVect, candidates should possess a Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a similar field. You should also have a minimum of 4 years of focused experience in deploying 2D or 3D object detection models, along with proficiency in Python and the ability to lead projects independently.

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What experience is preferred for the Staff Software Engineer, Perception role at AeroVect?

AeroVect greatly prefers candidates with a PhD in Computer Science, Robotics, or a related discipline for the Staff Software Engineer, Perception role. Additionally, having publications in esteemed conferences such as CVPR, ICRA, NeurIPS, IJCAI, or AAAI can significantly enhance your application, showcasing your expertise and contributions to the field.

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What skills are essential for the Staff Software Engineer, Perception at AeroVect?

Essential skills for the Staff Software Engineer, Perception at AeroVect include a strong command of Python programming, and comprehensive knowledge in deploying and training state-of-the-art object detection models. You should also have experience with data collection methods and evaluation metrics to ensure model effectiveness in practical applications.

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Is remote work available for the Staff Software Engineer, Perception role at AeroVect?

Yes, the Staff Software Engineer, Perception position at AeroVect is fully remote, providing you with the flexibility to work from anywhere. This allows you to join our innovative team regardless of your location while contributing to the exciting advancements we're making in ground handling and autonomy in aviation.

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Common Interview Questions for Staff Software Engineer, Perception
Can you explain a past project where you deployed 3D object detection models?

When answering this question, focus on the specific challenges you faced, the technologies used, and the impact of your work. Highlight your role, the team dynamics, and any leadership responsibilities you took on as a Staff Software Engineer, emphasizing how your contributions led to successful outcomes.

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How do you approach building datasets for model training?

In your response, discuss the importance of dataset diversity, quality, and the methodologies you employ to ensure balanced representation. Mention any tools or frameworks you use and how you validate the effectiveness of these datasets in improving model accuracy.

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What strategies do you use to evaluate the performance of object detection models?

When discussing evaluation strategies, mention key performance metrics like precision, recall, and F1 score. Describe how you use these metrics to fine-tune your models and the iterative process you follow when optimizing performance.

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How do you stay current with advancements in computer vision and object detection?

Share specific conferences, journals, or online platforms where you engage with the latest research. Discuss how staying informed about recent publications helps you implement novel approaches in your work as a Staff Software Engineer, Perception.

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Describe your experience working in a multidisciplinary team.

Emphasize collaborative skills and your ability to communicate effectively with professionals from diverse backgrounds. Provide examples of how teamwork and collaboration have led to successful project outcomes in your past roles.

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Can you give an example of a challenging technical problem you solved?

Frame your answer by outlining the problem context, the steps you took to analyze it, the solutions you proposed, and the eventual outcomes. Focus on how your role as a Staff Software Engineer, Perception, contributed to resolving the issue.

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How do you handle project deadlines and multiple tasks?

Discuss your time management techniques and prioritization methods. Provide examples of past projects where you successfully managed competing deadlines while maintaining quality and attention to detail.

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What is your experience with LiDAR and radar data processing?

Provide insights into specific projects involving LiDAR and radar, detailing the processing techniques and algorithms you’ve employed. Highlight any challenges faced and how you overcame them, showcasing your technical expertise.

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How do you ensure the ethical use of AI in your projects?

Talk about the importance of responsible AI development, including fairness, transparency, and accountability. Explain how you incorporate ethical considerations into your design and deployment processes as a Staff Software Engineer.

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Where do you see the future of ground handling technology headed?

Share your insights on industry trends and innovations in autonomy and ground handling. Discuss how your role and expertise can influence these advancements and how you plan to contribute to them at AeroVect.

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AeroVect develops autonomous driving platforms for GSE, enabling efficient, safe, and reliable airside operations at some of the largest passenger and cargo hubs in the world.

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Full-time, remote
DATE POSTED
March 23, 2025

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