AIML- Engineer Staff

Qualifications

Master’s degree in Science, Engineering, AI/ML or a relevant field Over 3+ years of experience working with embedded platforms Experience with PyTorch, TensorFlow, or other machine learning frameworks Proficiency in ML/MLOps for AI application development and deployment Advanced programming skills in C/C++ and Python Familiarity with supervised and unsupervised machine learning, computer vision, NLP, and LLM architectures Demonstrated analytical capability Quick learner with a robust technical background, strong problem-solving ability, and customer focus Experience in software architecture and design patterns Knowledge of architectural approaches for large-scale software applications Previous customer-facing experience is advantageous Exposure to fine-tuning GenAI models and reinforcement learning considered a plus Expertise in inference accuracy, throughput optimization, and edge deployment highly desirable Principal Duties and

Responsibilities

• Deploy and optimize computer vision models, LLMs, VLMs, and VLAs on ADAS and Cockpit Edge AI platforms Design and implement end-to-end inference applications for customer platforms Coordinate project planning and ensure timely, high-quality deliverables Train and support internal teams in resolving technical issues Participate in cross-departmental initiatives to address complex technical challenges Contribute to continuous development and innovation in tools, technologies, and user experiences Assist in the design, development, and integration of GenAI and LLM applications Support implementation of fine-tuning and distillation techniques Conduct ML model benchmarking and functional analysis to inform requirements and specifications Facilitate customer engagement by optimizing and deploying AI models and workloads Collaborate with team members and other groups to complete project tasks, verify system functionality, and implement new features Generate innovative ideas for products or feature areas Lead system-level problem triage to identify root causes and communicate testing/debugging results to relevant stakeholders Applicants : Qualcomm is an equal opportunity employer.
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