Senior ML Systems Engineer - Hardware-Software Co-Design

QUALCOMM, Inc.; San Diego (CA); On-site; USD 162,000 - 243,000; Full time

Benefits offered by this job

Annual bonus

RSU grants

Competitive benefits

Job summary

Qualcomm Technologies, Inc. in San Diego, CA is seeking a Machine Learning Engineer to design and implement ML techniques, frameworks, and tools that enable efficient discovery and utilization of state-of-the-art ML across mobile, edge and IoT platforms.

You will collaborate with cross-functional teams to advance ML frameworks and develop optimized software for ML models on hardware, driving impactful solutions for Qualcomm’s diverse product lines.

Qualifications

• Bachelor's degree in CS/Engineering with 4+ years of related work experience.
• Master's degree with 3+ years of related work experience.
• PhD with 2+ years of related work experience.
• 5+ years of ML frameworks experience (TensorFlow, Caffe, PyTorch, Keras).
• 5+ years embedded systems development for ML problems.
• 5+ years programming in Python, R, C, or C++.
• 2+ years in a large matrixed organization.
• 1+ year in technical leadership roles.
• 1+ year interacting with senior leadership.

Responsibilities

• Leverages advanced ML knowledge to extend training or runtime frameworks.
• Models and develops ML hardware for inference or training.
• Develops optimized software for AI models on hardware with kernels/tools.
• Develops and applies ML techniques into products and AI solutions.
• Prototypes novel ML solutions aligned with proposals/roadmaps.
• Oversees experiments to train and evaluate ML models.

Skills

Machine Learning

Python

C++

Embedded systems

Leadership

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Master's degree in Computer Science, Engineering, Information Systems, or related field

PhD in Computer Science, Engineering, Information Systems, or related field

Tools

TensorFlow

Caffe

PyTorch

Keras

Linux

Android

QNX

Job description

Qualcomm Technologies, Inc. in San Diego, CA is seeking a Machine Learning Engineer to design and implement ML techniques, frameworks, and tools that enable efficient discovery and utilization of state-of-the-art ML across mobile, edge and IoT platforms.

You will collaborate with cross-functional teams to advance ML frameworks and develop optimized software for ML models on hardware, driving impactful solutions for Qualcomm’s diverse product lines.