Software Engineer

AEROVECT TECHNOLOGIES INC.
Atlanta, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

C++ (Programming Language) Nvidia CUDA Data Transformation Python (Programming Language) Deep Learning Information Technology Lidar

Job description

  • Train, deploy and monitor 2D/3D object detection models (Camera, LiDAR, Radar)
  • Build and maintain data collection, labeling and evaluation (metrics) pipeline
  • Maintain proprietary multi-modal dataset for training and evaluation
  • Architect a deterministic secondary perception system
  • Mentor junior engineers about best practices

Requirements

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

  • 3+ years of focused experience in perception (sensing, preprocessing, detection, tracking)
  • Python, C++ and ROS2 proficiency
  • The ability to work autonomously

We Prefer

  • PhD in Computer Science, Robotics, or a related discipline
  • Previous experience working with autonomous robots
  • Experience developing CUDA kernels

About the company

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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:19 min

Advancing autonomous driving capabilities with specialized software talent

Katrin Lehmann Katrin Lehmann +1 · Coffee With Developers

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

6:21 min

Previewing upcoming hardware acceleration capabilities for Python environments

Chris Heilmann +2 · LIVE

2:17 min

Validating lidar sensor models against real noise

Ulrich Wurstbauer +1 · LIVE

2:33 min

Architecting CUDA and the AI software stack

Michael Kagan Michael Kagan +1 · World Congress 2026 Europe

3:30 min

Transitioning from CUDA software architect to user

Stephen Jones · Coffee With Developers

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