Senior Cloud Machine Learning Engineer - Riyadh, KSA

General Summary

About the role

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.
• **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.
• 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
• 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 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.

OR

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.
• *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.
• Qualcomm is an equal opportunity employer.
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