Machine Learning Engineer, level; Datacentre AI Engineering KSA

Position: Machine Learning Engineer, Staff level (Data centre AI Engineering KSA
Company:

Qualcomm Middle East Information Technology Company LLCJob Area:

Engineering Group, Engineering Group  Software Engineering General

Summary:

About UsQualcomm 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 s 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 seeking a Staff‑level ML Applications Engineer with deep hands‑on experience in C++/Python‑based AI development in a Linux environment. The ideal candidate operates with a high degree of autonomy, defines technical goals and scope for assigned problem areas, and leads development efforts through execution. This role requires strong analytical skills, effective cross‑team collaboration, and the ability to mentor and guide other engineers by example while remaining hands‑on and execution‑focused.

We are looking for 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, Execu Torch, Inductor, Torch Dynamo 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.

Desirable Skills and Aptitudes 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.

Very strong hold on Pytorch and JIT.Well versed with open-source development practices.

Ability to work independently, define requirements and scope, and lead a development effort.

Mentors and guides team members through influence and example, without direct people‑management responsibility

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.

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

What's on Offer Apart from working with great people, we offer the below:

Salary including housing & transport allowance

Stock (RSU's) and performance related bonus
16 weeks fully paid Maternity Leave6 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.

ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

ORPhD 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.…