Cloud Machine Learning Engineer - Riyadh, KSA

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

Company

Qualcomm Middle East Information Technology Company LLC

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

About Us

Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.

As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.

About the role

We are looking for strong technical and analytical skills in C++/Python‑based AI development in a Linux environment. Ability to work effectively as part of a team, take ownership of assigned tasks or features, and independently drive implementation within a defined technical scope.

We are looking for 2-8 years Software Engineering or related work experience.

Key Responsibilities will include

• Improve and optimize key Deep Learning models on Qualcomm AI 100
• Build deep learning framework extensions for Qualcomm AI 100 in upstream open‑source repositories
• Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
• Build software tools and ecosystem around AI SW Stack.
• Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
• Optimize workloads for both scale‑up (multi‑SoC) and scale‑out (multi‑card) systems
• Optimize the entire deep learning pipeline including graph compiler integration
• Apply knowledge of software engineering best practices.

Required Skills and Aptitude

• Deep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
• Excellent C/C++ or Python programming and software design skills, including debugging, performance analysis, and test design.
• Strong proficiency in PyTorch and JIT
• Ability to work independently on assigned problem areas, understand requirements, and drive development tasks to completion
• Avid problem solver – should be able to find solutions to key engineering and domain problems.
• Strong developer with a research mindset – strives to innovate.

Preferred Skills

• Experiences to run workloads on large scale heterogeneous clusters is a plus
• Knowledge of compiler is a plus.
• Hands‑on experience with CUDA, CUDNN is a plus.
• Well versed with open-source development practices.

Qualifications

• Bachelor's / Masters/ PhD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
• 3+ years Software Engineering or related work experience.
• 2+ years experience with Programming Language such as C++, Python.

What's on Offer

• Salary including housing & transport allowance
• Stock (RSU's) and performance related bonus
• 16 weeks fully paid Maternity Leave
• 6 weeks fully paid Paternity Leave
• Employee stock purchase scheme
• Child Education Allowance
• Relocation and immigration support (if needed)
• Life and Medical Insurance
• Live+ Well Reimbursement for health and recreational membership fees

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Equal Opportunity Statement

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑[e-mail] or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Policy Statement

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Agency Statement

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

Contact

If you would like more information about this role, please contact Qualcomm Careers.