Customer Engineering - SW Applications - Engineer, Staff

Qualcomm•Santa Clara, CA

2d•$145,000 - $217,600

About The Position

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.

Requirements

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.

Nice To Haves

Master’s degree in science, Engineering, or related field.
7+ years of experience in Embedded platforms
Experience with PyTorch, TensorFlow 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

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 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.