Embedded ML Compiler Engineer — Edge AI

QUALCOMM, Inc.; New York (NY); On-site; USD 123,000 - 184,000; Full time

Job summary

Qualcomm Technologies, Inc. in New York seeks a Machine Learning Engineer to build and optimize ML approaches across hardware and software. You will work with cross‑functional teams to push ML capabilities into mobile, edge, auto, and IoT products, ensuring scalable models and efficient inference across diverse platforms.

The role emphasizes collaborating with senior leaders, prototyping algorithms, and delivering practical ML solutions that align with roadmap goals and real‑world constraints.

Qualifications

• CS/Engineering degree with 2+ years relevant work experience.
• Master's degree with 1+ year experience in related field.
• PhD in related field (optional).

Responsibilities

• Applies ML knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Models, architectures, and develops ML hardware (co-designed with ML software) for inference or training solutions.
• Develops optimized software to enable AI models deployed on hardware (e.g., ML kernels, compiler tools) to exploit hardware features.
• Assists with the development and application of ML techniques into products and AI solutions for customers.
• Develops, adapts, or prototypes ML algorithms and frameworks aligned with product roadmaps with minimal guidance.

Skills

ML frameworks

Python / C++

Embedded systems

Statistics / probability

Leadership interaction

Education

Bachelor's degree or higher in CS/Engineering

Master's degree desirable

PhD in related field (optional)

Tools

TensorFlow

Caffe

PyTorch

Keras

Job description

Qualcomm Technologies, Inc. in New York seeks a Machine Learning Engineer to build and optimize ML approaches across hardware and software. You will work with cross‑functional teams to push ML capabilities into mobile, edge, auto, and IoT products, ensuring scalable models and efficient inference across diverse platforms.

The role emphasizes collaborating with senior leaders, prototyping algorithms, and delivering practical ML solutions that align with roadmap goals and real‑world constraints.