About the role

Aplyr's Quick Take

This role is for a Staff Software ML Engineer focused on optimizing software for driver monitoring and assistance systems. You'll be developing tools and frameworks, enhancing machine learning models, and ensuring system stability across IoT devices. It's a hands-on, technical position rather than a managerial one.

Good fit

Ideal candidates have 6+ years in software optimization, strong programming skills in languages like C++ and Python, and a background in machine learning and computer vision. A detail-oriented, analytical mindset is crucial for success.

Worth noting

The company is experiencing rapid growth, which could mean a dynamic work environment. However, the role may involve managing production inquiries, which could be a red flag for those seeking a purely development-focused position.

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.

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.

Required 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.

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.

Recruitment Fraud Alert!

There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.

Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.

Skills & Tags

python go machine learning ai data product design

Aplyr's read

Netradyne leverages AI and machine learning to enhance driver safety and fleet management, attracting tech-savvy professionals passionate about transportation innovation.
Synthesized from recent postings & public sources

What's promising

•Netradyne's AI-driven solutions are at the forefront of transportation safety technology.
•The company has a strong focus on innovation in fleet management systems.
•Recent hiring trends suggest growth and investment in diverse technical roles.

What to watch

•Limited public information about the company's financial stability.
•Potential challenges in scaling AI solutions across diverse fleet environments.
•Competition in the transportation tech space is intense and rapidly evolving.

Why Netradyne

•Netradyne's use of machine learning specifically targets driver safety improvements.
•The company offers a niche focus on AI applications in fleet management.
•Netradyne's technology aims to transform transportation safety standards.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Netradyne

Netradyne

netradyne.com

View company

Netradyne is a technology company focused on developing advanced driver safety and fleet management solutions using artificial intelligence and machine learning.