Staff ML Engineer: Embedded AI & Hardware Co‑Design

Nutanix

San Diego (CA)

On-site

USD 158,000 - 238,000

Full time

9 days ago

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Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to create and implement ML techniques, frameworks, and tools for state-of-the-art solutions across mobile, edge, auto, and IoT products.

You will collaborate with cross-functional teams to advance ML hardware and software. The role focuses on building efficient ML models, optimizing runtimes, and contributing to product development with embedded systems and hardware interaction.

Qualifications

Bachelor's/Master's/PhD with relevant experience as per minimum qualifications.
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Responsibilities

Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
Models, architectures, and develops advanced machine learning hardware for inference or training solutions.
Develops optimized software to enable AI models deployed on hardware 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.
Oversees and conducts experiments to train and evaluate machine learning models and/or software.