Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

Qualcomm; Al Khobar; On-site; SAR 320,000 - 450,000; Full time

Benefits offered by this job

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

Life and Medical Insurance

Live+ Well Reimbursement for health and recreational membership fees

Job summary

Qualcomm is looking for a Staff-level ML Applications Engineer to enhance its AI applications. This role demands deep experience in C++ and Python for AI development in a Linux environment. Candidates should have at least 8 years of software engineering experience and be adept in deep learning techniques and software design.

The position offers various benefits including housing allowances, stock options, and comprehensive health insurance, making it a rare opportunity to work in a pioneering tech hub.

Qualifications

• 8+ years of Software Engineering or related experience.
• Experience with programming languages such as C++, Python.
• Ability to mentor and guide team members.

Responsibilities

• Improve and optimize Deep Learning models.
• Build deep learning framework extensions for Qualcomm AI 100.
• Collaborate to analyze training and inference for deep learning.

Skills

Deep Learning experience

C/C++ programming

Python programming

Pytorch

Problem-solving

Software design skills

Education

Bachelor's / Master’s / PhD in Engineering or related field

Tools

CUDA

CUDNN

Job description

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 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 of Software Engineering or related work experience.

Key Responsibilities

• 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
• 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

• Experience 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 / Master’s / PhD degree in Engineering, Machine learning/AI, Information Systems, Computer Science, or related field
• 8+ years of Software Engineering or related work experience
• 2+ years of 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

*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 Employer

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 found here. 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.

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.