Strong experience in embedded software development, integration, optimization and debugging Proficiency in C/C++ and modern scripting languages such as Python 2+ years of experience working with embedded platforms 2+ years experience with high level OS (QNX, Linux, or Android) Experience with ML applications in Automotive Infotainment or Autonomous Driving Experience with dedicated ML accelerators or hardware blocks for embedded AI, inference optimization and edge deployment Hands on knowledge of major CV/DL frameworks: OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2 Experience with supervised & unsupervised ML, including CV, NLP, and LLM based systems, tuning GenAI models or reinforcement learning Experience with ML/MLOps pipelines for AI application development and deployment Solid understanding of neural network operators, linear algebra, quantization and ML/DL related fundamentals, including CNNs, object detection, segmentation, and related algorithms Strong communication, collaboration, and customer focused mindset Ability to manage tasks, timelines, and drive cross-functional execution Ability to quickly learn new technologies and perform deep technical analysis Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of any combination of academic and/or work experience with debugging techniques. Responsible for CV models, LLMs, VLMs, VLAs deployment in ADAS and Cockpit Edge platforms and support customers for successful commercialization Develop end to end applications for inference deployment on customer platforms Plan with team lead, take ownership of on-time delivery and quality. Train and support internal teams in issue resolution. Participate in cross department initiatives & activities to solve technical problems with cross-functional team. Contributing towards the continuous development & innovation of tools, technology and user experience Assist in the design, development, and implementation of Gen AI and LLM applications Contribute towards implementing fine tuning and distillation techniques Perform ML model benchmarking and functional analysis to drive requirements and specifications Support customer engagement with AI model/workload optimization and deployment Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems Develops new and innovative ideas for a product or feature area. Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.
