Staff Machine Learning Engineer

About Netradyne

Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry.

Netradyne’s technology is already deployed in thousands of vehicles;
and our customers driveeverything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road.

Netradyne is actively seeking talented engineers to join our Analytics team.

We are particularly interested in individuals with a strong educational background and past experience in IoT-related companies.

This role is specifically for a Staff position as a Software Development Engineer in System Optimization.

Our team's primary focus is on developing cutting-edge AI solutions that empower drivers and fleets to optimize system performance and identify areas for improvement in real-time, aiming to enhance efficiency and reduce resource consumption.

If you have prior experience in IoT-related fields and are passionate about optimizing systems and software development, we encourage you to apply and be a part of our innovative team.

Experience: - 7-9 Y Experience

Job Responsibilities As a Staff Software ML Engineer in System Optimization, you will implement, and evolve processes to ensure the efficient and high-performance operation of our in-house designed and developed driver monitoring and assistance technology.

Your responsibilities will include:

• Crafting and developing tools, frameworks, and reporting mechanisms for system optimization.
• Streamlining software for deployment across IoT devices, implementing GPU/CPU/DSPs.
• Enhancing data platforms and optimizing machine learning models deployed on the platform.
• Improving driver monitoring and driver assistance algorithms to boost system efficiency and report key performance indicators (KPIs).
• Managing production inquiries and ensuring overall application stability in production environments.
• Effectively conveying highly technical results to diverse audiences.

Requirements To excel in this Staff Software ML Engineer in System Optimization role, you should possess the following qualifications:

• Hold a B.E/B.Tech or M.E/M.Tech degree with a minimum of 6+ years of experience in software system optimization.
• Exhibit exceptional attention to detail, strong analytical skills, and a creative mindset dedicated to achieving optimal system performance.
• Demonstrate proficiency in programming languages such as C/C++, OpenGL, CUDA, and Python.
• Possess a solid grasp of basic statistics, probability, and concepts in machine learning (ML) and computer vision (CV).
• Have experience with ML frameworks, including Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX.
• Bring experience in embedded platforms, make files, build systems, and familiarity with Jenkins, which is a valuable asset.

Join our team as a Staff Software ML Engineer in System Optimization and play a pivotal role in enhancing the efficiency and performance of our cutting-edge technology.