Cloud AI Engineer — Deep Learning & Scale-Out Inference

Qualcomm; Al Khobar; On-site; SAR 240,000 - 360,000; Full time

Benefits offered by this job

Housing allowance & transport

RSU stock and performance bonus

Maternity leave 16 weeks

Paternity leave 6 weeks

Employee stock purchase scheme

Education allowance for children

Relocation support

Life and medical insurance

Wellness reimbursement

Job summary

Qualcomm Middle East Information Technology Company LLC seeks talented software engineers to advance AI/ML capabilities in data center environments across the region. You will work on C++/Python in Linux, focusing on deep learning model optimization and accelerator stack integration.

You will contribute to DL framework extensions, collaboration with internal teams, and building tools to enhance training and inference efficiency. A strong research mindset and independent drive are valued.

Qualifications

• Bachelor's/Master/PhD in Engineering or CS.
• 2+ years software engineering or related work experience.
• 2+ years programming in C++ and/or Python.
• Deep Learning experience with LLMs, NLP, vision, audio, or recommendations.

Responsibilities

• Improve and optimize Deep Learning models on Qualcomm AI 100.
• Build DL framework extensions in upstream open-source repos.
• Collaborate with internal teams to optimize training and inference.
• Develop software tools and ecosystem around AI software stack.
• Work on Triton, ExecuTorch, Inductor, TorchDynamo for inference acceleration.
• Optimize workloads on multi-SoC and multi-card systems.
• Integrate graph compiler support into DL pipelines.
• Apply software engineering best practices.

Skills

Deep Learning

C/C++

Python

PyTorch

Linux

Teamwork

Independent work

Performance analysis

Education

Engineering/CS degree; Masters/PhD preferred

Tools

CUDA

CUDNN

Open-source

Job description

Qualcomm Middle East Information Technology Company LLC seeks talented software engineers to advance AI/ML capabilities in data center environments across the region. You will work on C++/Python in Linux, focusing on deep learning model optimization and accelerator stack integration.

You will contribute to DL framework extensions, collaboration with internal teams, and building tools to enhance training and inference efficiency. A strong research mindset and independent drive are valued.