Company:
Qualcomm CDMA Technologies (Korea) YH
Job Area:
Engineering Group, Engineering Group > Software Applications Engineering
General Summary:
Job Overview
This position is within Qualcomm’s Automotive Application Engineering Group, which works closely with automotive partners and customers from concept through commercialization. The team is involved in all aspects of embedded software, including software design, feature prototyping and integration, software customization, performance optimization, and debugging—critical for a successful product launch.
We are seeking a strong Software Engineer with solid knowledge and hands-on experience in design, development, debugging, and optimization of AI/ML solutions on one or more operating systems such as Linux, Android, Green Hills Integrity, and QNX embedded systems. The primary responsibility is to provide direct support to Qualcomm customers and partners in designing, developing, and debugging software issues related to Qualcomm reference designs, as well as customizing and optimizing software to meet product requirements using Qualcomm SoC features.
The ideal candidate will quickly ramp up on existing projects, understand automotive platform hardware and software driver architecture, read and write technical specifications and requirements, demonstrate strong analytical and problem-solving skills, and collaborate closely with external customers to customize and launch new products.
This role offers the opportunity to work on cutting-edge infotainment, digital cockpit, and autonomous driving technologies from leading automotive manufacturers and Tier 1 suppliers, and to see projects through to successful commercialization.
Minimum Qualifications:
· Bachelor’s degree in Engineering, Information Systems, Computer Science, or a related discipline.
· 3+ years of experience with Programming Language such as C, C++, Java, Python, etc.
· 3+ years of experience with debugging techniques.
Preferred Qualifications:
- Master’s degree in Science, Engineering, AI/ML or a relevant field
- 4+ years of experience in embedded systems with a focus on any of the following subsystems: modem, BSP/bootloader, networking, compute/AI/Machine Vision, multimedia (camera, audio), platform security, virtualization
- Extensive experience on any of the following software platforms: Android, Linux, QNX, microkernels/RTOS
- Experience with PyTorch, TensorFlow, or other machine learning frameworks
- Proficiency in ML/MLOps for AI application development and deployment
- Advanced programming skills in Python and C/C++
- Familiarity with supervised and unsupervised machine learning, computer vision, NLP, and LLM architectures
- Automotive development experience on Qualcomm Snapdragon–based platforms.
- 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:
- Responsible for CV models, LLMs, VLMs, VLAs deployment in ADAS and Cockpit Edge AI platforms
- 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, 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.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ 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 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
• 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
• 1+ year of experience with debugging techniques.
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