Fox Robotics is looking to solve the problem of warehouse automation by developing autonomous forklifts. The company needs to build perception code that allows these forklifts to understand their environment, enabling them to navigate, manipulate objects, and perform tasks safely and efficiently.
Requirements
- Familiarity with PyTorch
- Experience with C++ and Python
- Experience training deep convolutional neural networks
- Experience with sensors and hardware
- Experience with 3D point cloud data (using both classical and deep learning techniques)
- ML ops experience - building and maintaining modern deep learning pipelines
- Experience deploying deep learning on the edge
Responsibilities
- Build and maintain perception code that runs on our fleet of autonomous forklifts
- Adapt modern research in robotics, artificial intelligence, and computer vision to solve challenging problems in robotics with a focus on performance and reliability
- Write code in C++ and Python
- Analyze current system weaknesses and contribute improvements that address them
- Design and build one or more key components of a modern, scalable autonomy system
- Deliver high quality code to ensure systems are robust and reliable
- Work with multi modal sensor data including RGB, stereo depth, and LiDAR
Other
- M.S. / Ph.D. in Robotics, Computer Science, or related field
- 6+ years of experience
- Experience with warehousing or logistics
- Ability to find simple, robust solutions to challenging problems
