Netradyne is seeking a Staff Software ML Engineer to join our System Optimization team. In this role, you will implement and evolve processes to ensure the high-performance operation of our in-house designed driver monitoring and assistance technology.
What You'll Do
- Craft and develop tools, frameworks, and reporting mechanisms for system optimization.
- Streamline software for deployment across IoT devices, implementing GPU/CPU/DSPs.
- Enhance data platforms and optimize machine learning models deployed on the platform.
- Improve driver monitoring and driver assistance algorithms to boost system efficiency and report key performance indicators.
- Manage production inquiries and ensure overall application stability in production environments.
- Effectively convey highly technical results to diverse audiences.
What We're Looking For
- A B.E/B.Tech or M.E/M.Tech degree with a minimum of 6+ years of experience in software system optimization.
- Exceptional attention to detail, strong analytical skills, and a creative mindset dedicated to achieving optimal system performance.
- Proficiency in programming languages such as C/C++, OpenGL, CUDA, and Python.
- A solid grasp of basic statistics, probability, and concepts in machine learning and computer vision.
- Experience with ML frameworks, including Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX.
Nice to Have
- Experience in embedded platforms, make files, build systems, and familiarity with Jenkins.
Technical Stack
- C/C++
- OpenGL
- CUDA
- Python
- Caffe
- TensorRT
- OpenCL
- SNPE
- OpenVino
- ONNX
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
