Job Title:

Automotive Embedded Software Applications Engineer – AI/ML

Exp: 9 to 12 yr

General Summary:

Qualcomm stands at the forefront of technological innovation, continually advancing next-generation experiences and championing digital transformation toward a smarter, more connected future. As a Qualcomm Customer Engineer, you will work collaboratively with leading application vendors to integrate sophisticated AI models that operate efficiently on Qualcomm chipset NPU engines. This role provides exposure to Qualcomm’s state-of-the-art CPU, GPU, and NPU architecture, as well as industry-leading ML/AI acceleration capabilities.

Minimum Qualifications:

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related discipline.

Preferred 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