Staff Software ML Engineer

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.

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:

1. Crafting and developing tools, frameworks, and reporting mechanisms for system optimization.
2. Streamlining software for deployment across IoT devices, implementing GPU/CPU/DSPs.
3. Enhancing data platforms and optimizing machine learning models deployed on the platform.
4. Improving driver monitoring and driver assistance algorithms to boost system efficiency and report key performance indicators (KPIs).
5. Managing production inquiries and ensuring overall application stability in production environments.
6. 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:

1. Hold a B.E/B.Tech or M.E/M.Tech degree with a minimum of 6+ years of experience in software system optimization.
2. Exhibit exceptional attention to detail, strong analytical skills, and a creative mindset dedicated to achieving optimal system performance.
3. Demonstrate proficiency in programming languages such as C/C++, OpenGL, CUDA, and Python.
4. Possess a solid grasp of basic statistics, probability, and concepts in machine learning (ML) and computer vision (CV).
5. Have experience with ML frameworks, including Caffe, TensorRT, OpenCL, SNPE, OpenVino, and ONNX.
6. 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 Development Engineer in System Optimization and play a pivotal role in enhancing the efficiency and performance of our cutting-edge technology.

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.

If there is a match between your experiences/skills and the Company's needs, we will contact you directly.

Netradyne is an equal-opportunity employer.

Applicants only - Recruiting agencies do not contact.

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