
Senior Software Engineer, Perception (Radar)
Remote
Full Time
#Engineering
#Aerospace
#Autonomous
#Python
#C++
#Signal Processing
#Object Detection
#CUDA
We are AeroVect, a Series A company backed by leading investors in the aviation and autonomous driving sectors. We are currently revolutionizing ground handling for major airlines and service providers worldwide by integrating cutting-edge autonomy into their daily operations.
Responsibilities
- Design and refine radar-based perception pipelines, covering everything from preprocessing and clustering to detection and tracking.
- Manage the full lifecycle of radar object detection models, including training, deployment, and ongoing monitoring within ground handling environments.
- Integrate radar data with LiDAR or camera inputs to create highly robust multi-modal perception systems.
- Develop and oversee the infrastructure for radar data collection, labeling, and performance evaluation.
- Lead the architecture of a deterministic secondary perception system that utilizes radar as the primary modality.
- Provide mentorship to junior team members regarding industry best practices for radar perception.
Must-haves
- A Bachelor's or Master's degree in Electrical Engineering, Robotics, Computer Science, or a related technical field.
- At least 3 years of professional experience specifically in radar perception, including signal processing, tracking, and clustering.
- A strong grasp of radar fundamentals, such as beamforming, CFAR detection, range-Doppler processing, and multipath or ghost mitigation.
- Practical experience working with industrial or automotive radar sensors from manufacturers like TI, Continental, or Oculii.
- Proficiency in C++, Python, and ROS2.
Nice-to-haves
- A PhD in Robotics, Computer Science, Electrical Engineering, or a similar discipline.
- Proven experience successfully deploying radar models into production environments.
- Technical expertise in developing custom CUDA kernels.
- Background in fusing radar data with camera or LiDAR sensors within a production-grade stack.
- Familiarity with specialized radar datasets like RadarScenes, RADIal, or CARRADA.
Benefits
- Full-time, remote position available to candidates located anywhere.








