Staff Software ML Engineer
2 hours ago
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 drive everything 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.
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