Senior Staff ML Engineer: NPU-Optimized AI Frameworks

Qualcomm; As Sudiyah; On-site; OMR 49,985 - 61,520; Full time

Benefits offered by this job

Salary including housing and 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

Health and recreational membership fees reimbursement

Job summary

A technology company in Oman is seeking a Senior Staff Machine Learning Engineer to lead the design and deployment of machine learning frameworks. The ideal candidate will have a Bachelor's degree in Engineering or related field and over 12 years of experience. Responsibilities include optimizing machine learning applications for Qualcomm’s platforms and mentoring team members. The role offers competitive benefits including salary with housing allowance and stock options.

Qualifications

• 12+ years of Systems Engineering or related work experience.
• Hands-on experience with machine learning frameworks like PyTorch and TensorFlow.
• Experience in model-level optimisation techniques.

Responsibilities

• Research and develop machine learning frameworks tailored for Qualcomm NPUs.
• Provide technical leadership and mentorship without direct management responsibility.
• Interface with software development, integration, and test teams.

Skills

Machine learning frameworks

Model architecture

C/C++ development

Python development

Software development practices

Git

Education

Bachelor's degree in Engineering or related field

Job description

A technology company in Oman is seeking a Senior Staff Machine Learning Engineer to lead the design and deployment of machine learning frameworks. The ideal candidate will have a Bachelor's degree in Engineering or related field and over 12 years of experience. Responsibilities include optimizing machine learning applications for Qualcomm’s platforms and mentoring team members. The role offers competitive benefits including salary with housing allowance and stock options.