Applied ML Engineer, II - GPU Optimization
Torc RoboticsCandidates should possess a bachelor's degree with 5+ years of professional experience, or an advanced degree, and proficiency in C++14, enabling them to write robust, efficient, and clean code. Experience with CUDA programming and parallelization of algorithms is required, along with experience writing TensorRT plugins. Familiarity with collaborative development tools like Git and Jira is also necessary.
- Salary not specified
- Full Time
- Junior (1 to 2 years)