✨ About The Role
- The role involves proposing and prototyping innovative solutions to address complex real-world problems using state-of-the-art techniques.
- The candidate will be responsible for developing and maintaining core libraries and runtime applications.
- Integration of classical and geometric methods in computer vision with machine learning methods is a key aspect of the job.
- Collaboration with the ML and Data Infra team to construct benchmarks for analyzing system performance is expected.
- The position is part of the Vehicle Autonomy (Robotics) team, which develops aerial and ground-based robotic systems.
- The candidate will work closely with specialist teams like Perception, Autonomy, and Manufacturing to solve challenging problems.
- The job requires a commitment to bringing cutting-edge technology to military applications in a timely manner.
âš¡ Requirements
- The ideal candidate will have a Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field.
- A minimum of 3 years of experience developing and benchmarking machine learning algorithms on large-scale datasets is essential.
- Proficiency in C++ development within a Linux environment is required for this role.
- Experience with deploying models using TensorRT and ONNX will be beneficial.
- Familiarity with Python development and deep learning frameworks such as PyTorch and TensorFlow is necessary.
- The candidate should have experience in writing and maintaining automated continuous integration tests.
- Knowledge in areas such as Object Detection, Object Tracking, and SLAM will be advantageous.
- A strong problem-solving mindset and the ability to propose innovative solutions to real-world challenges are crucial.