LLM Engineer

Qualcomm•Santa Clara, CA

3d•$160,500 - $240,700

About The Position

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Works independently with minimal supervision.
Provides supervision/guidance to other team members.
Decision-making is significant in nature and affects work beyond immediate work group.
Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Nice To Haves

Master's degree in Computer Science, Engineering, Information Systems, or related field.
5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
3+ years experience working in a large matrixed organization.
2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Responsibilities

Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
Models, architects, and develops advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.
Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
Oversees and conducts experiments to train and evaluate machine learning models and/or software.