ADAS AIML Architect
Posted on :
08-06-2024
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Our client is a brandnew Automotive Technology Startup backed by a leading INR 500Cr Tier 1 Automotive Supplier aiming to develop driver & rider safety systems especially for the Indian conditions by equipping the riders and drivers with advanced assistive and affordable obstacleavoidance automotive systems. Our client tends to utilize technologies such as Computer Vision AI/ML Big Data Sensor Fusion Embedded Systems and IOT to develop smart assistance systems.
Thier Suite of Products Include but are not limited to:
Front Collision Warning System (FCWS)
Collision Avoidance System (CAS)
Sleep Alert System
Driver Monitoring System
Designation: AI/ML Architect
Technical Leadership:
Lead a team to solve problems in a perception / autonomoussystems scope and turn ideas into code & products
Drive all technical elements of development such as project requirements definition design implementation unit testing integration and software delivery
Stay abreast of industry trends emerging technologies and best practices to drive continuous innovation in the area of AI/ML for autonomous driving
Implementing cuttingedge AI solutions on embedded platforms and optimizing them for performance. Hardware architecture aware algorithm design and development
Contribute to the vision and longterm strategy of the business unit
Roles & Responsibilities:
Good at software development with excellent analytical development and problemsolving skills.
Strong understanding of Machine Learning & Image processing fundamentals
Handson experience with deep learning network design and implementation.
Experience in neural network quantization compression and pruning algorithms.
Experience in deep learning kernel/compiler optimization
Strong communication skills
Required Qualification (Must Have):
810 years of experience with realworld system building including design coding
(C/Python) and evaluation/testing (C/Python)
Solid experience in 2D / 3D Computer Vision algorithms Machine Learning and Deep
Learning fundamentals Theory & Practice
Handson experience with Deep Learning frameworks like Caffe TensorFlow or PyTorch
Handson experience with DLIB Media pipe etc.
Expert level knowledge in any of the courses related to Signal Data Processing /
Autonomous software development (Perception Localization Prediction Planning)
multiobject tracking sensor fusion algorithms and familiarity with Kalman filters particle
filters clustering methods etc.
Good project management and execution capabilities as well as good communication
and coordination ability
Bachelor s degree in Computer Science Computer Engineering or related fields
Contribute to the overall strategic planning and vision of the company.
Minimum 4 years of experience working L1/L2 ADAS system algorithm development like
DMS surround view FCWS etc
Experience working with Automotive SOCs from Ambarella NVIDIA Renesas TI or NXP
Preferred Qualification (Nice to Have)
Track record of research excellence with prior publication in toptier conferences and journals
Knowledge of CAN communication protocol
planning,pytorch,dlib,nvidia,renesas,dms,ti,caffe,localization,prediction,c++/python,tensorflow,ai/ml,fcws,ambarella,nxp,pruning,compression,media pipe,kalman filters,deep learning,research excellence,starkenn technologies,software development,machine learning,solve problems,multi-object tracking,surround view,clustering methods,particle filters,compiler optimization,image processing fundamentals,signal data processing,cutting-edge ai solutions,sensor fusion algorithms,neural network quantization,deep learning kernel,autonomous software development,can communication protocol,deep learning network design,2d / 3d computer vision algorithms
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
