Cloud Machine Learning Engineer - Riyadh, KSA
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Key skills for this role
About the Role
Qualcomm is hiring a Cloud Machine Learning Engineer in Riyadh to work on AI development in a Linux environment. The role involves optimizing deep learning models on Qualcomm AI 100, building framework extensions, and collaborating on training and inference optimization.
Key Skills for This Role
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
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience (or Master's with 1+ year, or PhD)
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
- 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
Full Job Posting
General Summary
- 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.
- We are looking for strong technical and analytical skills in C++/Python based AI development in a Linux environment.
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
- 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
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
- OR 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.
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
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