Cloud AI ML Engineer: Inference & Optimization

Qualcomm; Austin (TX); On-site; USD 90,000 - 136,000; Full time

Job summary

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

You will collaborate with cross-functional teams to advance ML-enabled technologies for diverse platforms. The role emphasizes developing optimized software for AI models on hardware, prototyping ML algorithms, and integrating ML into silicon and software stacks.

Qualifications

• Bachelor’s degree required in CS/Engineering/IS or related field.
• Master’s degree preferred.
• Experience with ML frameworks and embedded systems is beneficial.

Responsibilities

• Applies ML knowledge to extend training or runtime frameworks and model efficiency tools.
• Assists in modeling and development of ML hardware for inference or training.
• Develops optimized software to deploy ML models on hardware and collaborate with team.
• Contributes to applying ML techniques to products and AI solutions.
• Develops or prototypes ML algorithms aligned with product roadmap.

Skills

ML frameworks

Embedded systems

Programming languages

Statistics & probability

Matrixed organization experience

OS & hardware (Linux/Android/QNX)

Education

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

Job description

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

You will collaborate with cross-functional teams to advance ML-enabled technologies for diverse platforms. The role emphasizes developing optimized software for AI models on hardware, prototyping ML algorithms, and integrating ML into silicon and software stacks.