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- Tasks: Architect and deploy cutting-edge 3D object detection models using multi-modal approaches.
- Company: Join a leading tech firm at the forefront of robotics and AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on research and development.
- Why this job: Make a real impact in the world of perception technology while mentoring future talent.
- Qualifications: Master’s or PhD in relevant fields with extensive experience in object detection.
The predicted salary is between 70000 - 90000 £ per year.
You will architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar). Build and maintain data collection and evaluation (metrics) pipeline. Develop a proprietary multi-modal dataset for training and evaluation. Train, deploy and monitor 2D/3D object detection models to production. Experiment with SOTA models’ performance. Mentor junior engineers about best practices.
You have a Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field. 5+ years of focused experience in architecting and deploying 2D/3D object detection models. Worked on the entire perception stack (sensing, preprocessing, detection & tracking). Python proficiency. The ability to lead projects autonomously.
We prefer a PhD in Computer Science, Robotics, or a related discipline. Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc.
Senior Staff Software Engineer, Perception employer: AeroVect Technologies Inc.
Contact Detail:
AeroVect Technologies Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Staff Software Engineer, Perception
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at conferences. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to 2D/3D object detection models. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and model deployment skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Staff Software Engineer, Perception
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with 2D/3D object detection models in your application. We want to see how you've architected and deployed these models, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your proficiency in Python and any relevant projects that showcase your ability to lead and mentor others in the field.
Talk About Your Research: If you’ve got publications in major conferences like CVPR or NeurIPS, make sure to mention them! We love seeing candidates who are actively contributing to the field of Computer Science and Robotics.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at AeroVect Technologies Inc.
✨Know Your Models Inside Out
Make sure you’re well-versed in the 3D object detection models you’ve worked with. Be ready to discuss your experience with multi-modal approaches, including how you’ve integrated data from cameras, LiDAR, and Radar. This will show your depth of knowledge and ability to contribute to the team.
✨Showcase Your Pipeline Experience
Prepare to talk about your experience building and maintaining data collection and evaluation pipelines. Highlight specific metrics you’ve used to evaluate model performance and any challenges you faced. This demonstrates your practical skills and understanding of the entire perception stack.
✨Bring Your Research to the Table
If you have publications in major conferences like CVPR or NeurIPS, don’t hesitate to mention them. Discussing your research can set you apart and show your commitment to advancing the field. Be ready to explain how your findings can be applied to the role.
✨Mentorship Matters
Since mentoring junior engineers is part of the role, think about your past experiences in guiding others. Prepare examples of how you’ve shared best practices or helped someone overcome a technical challenge. This will highlight your leadership skills and collaborative spirit.