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Staff Software Machine Learning Engineer

NetradyneBangalore
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Required Qualifications:B. E/B. Tech or M. E/M. Tech degree with a minimum of 6 years experience in software system optimization. Exceptional attention to detail, strong analytical capabilities, and a creative approach dedicated to achieving optimal system performance. Proficient in programming languages including C/C++, OpenGL, CUDA, and Python. Solid understanding of basic statistics, probability, and fundamental concepts in machine learning (ML) and computer vision (CV). Experience with ML frameworks such as Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX. Familiarity with embedded platforms, make files, build systems, and a working knowledge of Jenkins is a considerable advantage.

About the job

Netradyne leverages cutting-edge Computer Vision and Edge Computing to transform the transportation landscape. As a pioneering entity in fleet safety solutions, we have experienced an extraordinary growth rate of over 400% annually. Our innovative approach is rapidly establishing our technology as a disruptive force within the industry. To sustain our trajectory, we are actively seeking visionary and competitive individuals to join our expanding team.

Key Responsibilities:

In the role of Staff Software Machine Learning Engineer specializing in System Optimization, you will be responsible for designing and refining processes to guarantee the efficient and high-performance functionality of our proprietary driver monitoring and assistance technology. Your key responsibilities will include:

  1. Developing and enhancing tools, frameworks, and reporting systems for system optimization.
  2. Optimizing software for deployment across IoT devices, including implementation on GPU/CPU/DSP platforms.
  3. Advancing data platforms and fine-tuning machine learning models utilized on our platforms.
  4. Refining driver monitoring and assistance algorithms to enhance system efficiency and track crucial performance indicators (KPIs).
  5. Handling production inquiries and ensuring the stability of applications in live environments.
  6. Effectively communicating complex technical findings to a diverse audience.

About Netradyne

At Netradyne, we are dedicated to revolutionizing the transportation ecosystem through innovative technological solutions. Our commitment to improving fleet safety has positioned us as a leader in the industry, and we pride ourselves on fostering an inclusive and diverse workplace. As an equal-opportunity employer, we value talent and dedication irrespective of race, color, ethnicity, ancestry, national origin, religion, gender identity, or expression.

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