
NVIDIA
Project Management Engineer
- Permanent
- Riyadh, Saudi Arabia
- Experience 5 - 10 yrs
Report job as expired
Job expiry date: 16/08/2025
Job overview
Date posted
03/07/2025
Location
Riyadh, Saudi Arabia
Salary
SAR Undisclosed per month
Experience
5 - 10 yrs
Seniority
Senior & Lead
Qualification
Masters degree
Expiration date
16/08/2025
Job description
The Project Management Engineer at NVIDIAās Worldwide Field Operations team plays a key role in engaging with customers and partners in the Energy sector, delivering advanced HPC and AI solutions. Focused on NVIDIAās accelerated computing platform, the role involves developing proof-of-concept demonstrations, promoting Generative AI, and supporting performance optimization of both AI training and inference pipelines. The position requires interaction with developers, researchers, data scientists, IT managers, and executives, enabling integration of NVIDIA technology into enterprise computing architectures. Candidates will apply expertise in GPU computing, HPC system design, and deep learning to support product development and customer success.
Required skills
Key responsibilities
- Develop and demonstrate NVIDIAās AI and HPC platforms for developers in the Energy sector
- Engage directly with customers to identify technical challenges and recommend NVIDIA-based solutions
- Perform optimization for GPU-accelerated systems across training, inference, and HPC workloads
- Collaborate with internal teams to align solutions with product and engineering roadmaps
- Provide feedback to enhance NVIDIA product features via customer use cases and evaluations
- Support product adoption and integration within enterprise infrastructure
- Present technical solutions in a clear and effective manner to diverse audiences
Experience & skills
- MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields
- 5+ years of relevant experience in solutions architecture or R&D
- Proven expertise in high-performance applications for Energy sector use-cases
- Experience with large-scale AI training and inference deployment on GPU platforms
- Strong collaboration and communication skills in English and Arabic
- Proficiency in DevOps tools like Docker, Kubernetes, Singularity is a plus
- Experience with distributed DL training, model optimization, and HPC systems is desirable