Customer Engineering - SW - Engineer

Company:

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Software Applications Engineering

As a pioneering technology innovator, Qualcomm expands the limits of possibility to deliver next‑generation experiences and spearheads digital transformation, fostering a smarter, more connected future for everyone. As a Qualcomm Customer Engineer, you will collaborate with leading application vendors to integrate advanced AI models, ensuring they operate efficiently on powerful NPU engines built into Qualcomm chipsets. This position will expose you to Qualcomm’s cutting‑edge CPU, GPU and NPU features, and ML/AI acceleration needed for the industry.

• 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.
• 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.
• 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.

• Master’s degree in science, Engineering, or related field.
• 7+ years of experience in Embedded platforms
• Experience with PyTorch, Tensor Flow or other ML framework
• Experience in ML/MLOps for AI application development and deployment
• Strong programming skill in C/C++ & Python.
• Experience with supervised & unsupervised machine learning, machine learning systems based on CV, NLP and LLM architecture
• Strong data analysis capability.
• Fast learner, with strong technical background, problem solution experience and customer focus
• Using SW architecture and design patterns.
• Familiarity with architectural patterns for large-scale software applications
• Experience in a customer facing role is a plus
• Experience with fine-tuning GenAI models and reinforcement learning is a plus
• Experience with inference accuracy and throughput optimization techniques and edge deployment is a plus

• 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 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.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disabili or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to…